EfficientNet_V2S.ipynb

{"cells":[{"cell_type":"markdown","metadata":{"id":"ojlbdyI38RJR"},"source":["# Artificial Neural Networks and Deep Learning\n","\n","## I ragazzi del Bav\n","\n","#### Stefano Corti, Andrea Catelli, Alessandro Ciotti, Marco Giovanni Barbero\n","---\n","\n","## EfficientNet V2S"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"A7-6DMmGa1th","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1732292060269,"user_tz":-60,"elapsed":18206,"user":{"displayName":"Alessandro Ciotti","userId":"01193109251883175470"}},"outputId":"ceeed911-7ef4-4627-935e-22759187f2e8"},"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /gdrive\n","/gdrive/My Drive/[2024-2025] AN2DL/Homework 1\n"]}],"source":["from google.colab import drive\n","\n","drive.mount('/gdrive')\n","%cd /gdrive/My Drive/[2024-2025] AN2DL/Homework 1"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"hFocXBcoa75J","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1732292074854,"user_tz":-60,"elapsed":14587,"user":{"displayName":"Alessandro Ciotti","userId":"01193109251883175470"}},"outputId":"acde4a70-7897-4fbf-82da-dbdfe20c2cc6","collapsed":true},"outputs":[{"output_type":"stream","name":"stdout","text":["2.17.1\n","Collecting keras-cv\n","  Downloading keras_cv-0.9.0-py3-none-any.whl.metadata (12 kB)\n","Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from keras-cv) (24.2)\n","Requirement already satisfied: absl-py in /usr/local/lib/python3.10/dist-packages (from keras-cv) (1.4.0)\n","Requirement already satisfied: regex in /usr/local/lib/python3.10/dist-packages (from keras-cv) (2024.9.11)\n","Requirement already satisfied: tensorflow-datasets in /usr/local/lib/python3.10/dist-packages (from keras-cv) (4.9.7)\n","Collecting keras-core (from keras-cv)\n","  Downloading keras_core-0.1.7-py3-none-any.whl.metadata (4.3 kB)\n","Requirement already satisfied: kagglehub in /usr/local/lib/python3.10/dist-packages (from keras-cv) (0.3.4)\n","Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from kagglehub->keras-cv) (2.32.3)\n","Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from kagglehub->keras-cv) (4.66.6)\n","Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from keras-core->keras-cv) (1.26.4)\n","Requirement already satisfied: rich in /usr/local/lib/python3.10/dist-packages (from keras-core->keras-cv) (13.9.4)\n","Requirement already satisfied: namex in /usr/local/lib/python3.10/dist-packages (from keras-core->keras-cv) (0.0.8)\n","Requirement already satisfied: h5py in /usr/local/lib/python3.10/dist-packages (from keras-core->keras-cv) (3.12.1)\n","Requirement already satisfied: dm-tree in /usr/local/lib/python3.10/dist-packages (from keras-core->keras-cv) (0.1.8)\n","Requirement already satisfied: click in /usr/local/lib/python3.10/dist-packages (from tensorflow-datasets->keras-cv) (8.1.7)\n","Requirement already satisfied: immutabledict in /usr/local/lib/python3.10/dist-packages (from tensorflow-datasets->keras-cv) (4.2.1)\n","Requirement already satisfied: promise in /usr/local/lib/python3.10/dist-packages (from tensorflow-datasets->keras-cv) (2.3)\n","Requirement already satisfied: protobuf>=3.20 in /usr/local/lib/python3.10/dist-packages (from tensorflow-datasets->keras-cv) (4.25.5)\n","Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from tensorflow-datasets->keras-cv) (5.9.5)\n","Requirement already satisfied: pyarrow in /usr/local/lib/python3.10/dist-packages (from tensorflow-datasets->keras-cv) (17.0.0)\n","Requirement already satisfied: simple-parsing in /usr/local/lib/python3.10/dist-packages (from tensorflow-datasets->keras-cv) (0.1.6)\n","Requirement already satisfied: tensorflow-metadata in /usr/local/lib/python3.10/dist-packages (from tensorflow-datasets->keras-cv) (1.13.1)\n","Requirement already satisfied: termcolor in /usr/local/lib/python3.10/dist-packages (from tensorflow-datasets->keras-cv) (2.5.0)\n","Requirement already satisfied: toml in /usr/local/lib/python3.10/dist-packages (from tensorflow-datasets->keras-cv) (0.10.2)\n","Requirement already satisfied: wrapt in /usr/local/lib/python3.10/dist-packages (from tensorflow-datasets->keras-cv) (1.16.0)\n","Requirement already satisfied: array-record>=0.5.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow-datasets->keras-cv) (0.5.1)\n","Requirement already satisfied: etils>=1.6.0 in /usr/local/lib/python3.10/dist-packages (from etils[edc,enp,epath,epy,etree]>=1.6.0; python_version < \"3.11\"->tensorflow-datasets->keras-cv) (1.10.0)\n","Requirement already satisfied: typing_extensions in /usr/local/lib/python3.10/dist-packages (from etils[edc,enp,epath,epy,etree]>=1.6.0; python_version < \"3.11\"->tensorflow-datasets->keras-cv) (4.12.2)\n","Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from etils[edc,enp,epath,epy,etree]>=1.6.0; python_version < \"3.11\"->tensorflow-datasets->keras-cv) (2024.10.0)\n","Requirement already satisfied: importlib_resources in /usr/local/lib/python3.10/dist-packages (from etils[edc,enp,epath,epy,etree]>=1.6.0; python_version < \"3.11\"->tensorflow-datasets->keras-cv) (6.4.5)\n","Requirement already satisfied: zipp in /usr/local/lib/python3.10/dist-packages (from etils[edc,enp,epath,epy,etree]>=1.6.0; python_version < \"3.11\"->tensorflow-datasets->keras-cv) (3.21.0)\n","Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->kagglehub->keras-cv) (3.4.0)\n","Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->kagglehub->keras-cv) (3.10)\n","Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->kagglehub->keras-cv) (2.2.3)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->kagglehub->keras-cv) (2024.8.30)\n","Requirement already satisfied: six in /usr/local/lib/python3.10/dist-packages (from promise->tensorflow-datasets->keras-cv) (1.16.0)\n","Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.10/dist-packages (from rich->keras-core->keras-cv) (3.0.0)\n","Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/dist-packages (from rich->keras-core->keras-cv) (2.18.0)\n","Requirement already satisfied: docstring-parser<1.0,>=0.15 in /usr/local/lib/python3.10/dist-packages (from simple-parsing->tensorflow-datasets->keras-cv) (0.16)\n","Requirement already satisfied: googleapis-common-protos<2,>=1.52.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow-metadata->tensorflow-datasets->keras-cv) (1.66.0)\n","Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich->keras-core->keras-cv) (0.1.2)\n","Downloading keras_cv-0.9.0-py3-none-any.whl (650 kB)\n","\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m650.7/650.7 kB\u001b[0m \u001b[31m14.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hDownloading keras_core-0.1.7-py3-none-any.whl (950 kB)\n","\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m950.8/950.8 kB\u001b[0m \u001b[31m42.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hInstalling collected packages: keras-core, keras-cv\n","Successfully installed keras-core-0.1.7 keras-cv-0.9.0\n"]}],"source":["# Set seed for reproducibility\n","seed = 42\n","\n","# Import necessary libraries\n","import os\n","\n","# Set environment variables before importing modules\n","os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'\n","os.environ['PYTHONHASHSEED'] = str(seed)\n","os.environ['MPLCONFIGDIR'] = os.getcwd() + '/configs/'\n","\n","# Suppress warnings\n","import warnings\n","warnings.simplefilter(action='ignore', category=FutureWarning)\n","warnings.simplefilter(action='ignore', category=Warning)\n","\n","# Import necessary modules\n","import logging\n","import random\n","import numpy as np\n","\n","# Set seeds for random number generators in NumPy and Python\n","np.random.seed(seed)\n","random.seed(seed)\n","\n","# Import TensorFlow and Keras\n","#!pip install tensorflow==2.14.0\n","import tensorflow as tf\n","from tensorflow import keras as tfk\n","from tensorflow.keras import layers as tfkl\n","\n","# Set seed for TensorFlow\n","tf.random.set_seed(seed)\n","tf.compat.v1.set_random_seed(seed)\n","\n","# Reduce TensorFlow verbosity\n","tf.autograph.set_verbosity(0)\n","tf.get_logger().setLevel(logging.ERROR)\n","tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)\n","\n","# Print TensorFlow version\n","print(tf.__version__)\n","#print(tfk.__version__)\n","\n","# Import other libraries\n","import matplotlib.pyplot as plt\n","import pandas as pd\n","from sklearn.model_selection import train_test_split\n","from sklearn.metrics import accuracy_score, confusion_matrix, precision_score, recall_score, f1_score\n","import seaborn as sns\n","from PIL import Image\n","import matplotlib.gridspec as gridspec\n","\n","!pip install keras-cv\n","import keras_cv as kcv\n","\n","#!pip install tensorflow-addons\n","#import tensorflow_addons as tfa\n","\n","\n","# Configure plot display settings\n","sns.set(font_scale=1.4)\n","sns.set_style('white')\n","plt.rc('font', size=14)\n","%matplotlib inline"]},{"cell_type":"markdown","source":["## 🔽 IMPORT DATA"],"metadata":{"id":"9Xghg8K6atN3"}},{"cell_type":"code","execution_count":null,"metadata":{"id":"zmOgxXm2bBI9","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1732292120472,"user_tz":-60,"elapsed":45619,"user":{"displayName":"Alessandro Ciotti","userId":"01193109251883175470"}},"outputId":"4e5423fc-8bbb-40b6-9b2c-6627be9db039"},"outputs":[{"output_type":"stream","name":"stdout","text":["Training Data Shape: (28900, 96, 96, 3)\n","Training Label Shape: (28900,)\n","Validation Data Shape: (5100, 96, 96, 3)\n","Validation Label Shape: (5100,)\n","Test Data Shape: (6000, 96, 96, 3)\n","Test Label Shape: (6000,)\n","<class 'numpy.ndarray'>\n"]}],"source":["data = np.load(\"balanced_dataset_5000img.npz\")\n","X_balanced = data['images']\n","y_balanced = data['labels']\n","\n","# Split data into training + validation and test set, maintaining class distribution\n","X_train_val, X_test, y_train_val, y_test = train_test_split(X_balanced, y_balanced, random_state=seed, test_size=0.15, stratify=y_balanced)\n","\n","# Split data into training and validation sets, maintaining class distribution\n","X_train, X_val, y_train, y_val = train_test_split(X_train_val, y_train_val, random_state=seed, test_size=0.15, stratify=y_train_val)\n","\n","# Print the shapes of the resulting datasets\n","print(\"Training Data Shape:\", X_train.shape)\n","print(\"Training Label Shape:\", y_train.shape)\n","print(\"Validation Data Shape:\", X_val.shape)\n","print(\"Validation Label Shape:\", y_val.shape)\n","print(\"Test Data Shape:\", X_test.shape)\n","print(\"Test Label Shape:\", y_test.shape)\n","print(type(X_train))\n","\n","del data, X_balanced, y_balanced, X_train_val, y_train_val\n","labels = {0:\"Basophil\",1:\"Eosinophil\",2:\"Erythroblast\",3:\"Immature granulocytes\",4:\"Lymphocyte\",5:\"Monocyte\",6:\"Neutrophil\",7:\"Platelet\"}"]},{"cell_type":"code","source":["# Normalize data to the range [0, 1]\n","\n","X_test = (X_test / 255).astype('float32')\n","\n","# Convert labels to categorical format using one-hot encoding\n","\n","y_test = tfk.utils.to_categorical(y_test)"],"metadata":{"id":"RHIZnn8GnBEE"},"execution_count":null,"outputs":[]},{"cell_type":"code","execution_count":null,"metadata":{"id":"23QsvNpScfPu"},"outputs":[],"source":["# Augmented train set\n","train = np.load(\"Augmented_train_randAugment_5000img.npz\")\n","X_train = train[\"images\"]\n","y_train = train[\"labels\"]\n","\n","print(\"Shape X train:\" , X_train.shape)\n","print(\"Shape y train:\" , y_train.shape)\n","\n","del train"]},{"cell_type":"markdown","metadata":{"id":"Qt1DJqUXoxnQ"},"source":["## 🏗️ NETWORK SETUP"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"PAhqr9G6cZjt"},"outputs":[],"source":["# Normalize data to the range [0, 1]\n","X_train = (X_train / 255).astype('float32')\n","X_val = (X_val / 255).astype('float32')\n","X_test = (X_test / 255).astype('float32')\n","\n","# Convert labels to categorical format using one-hot encoding\n","y_train = tfk.utils.to_categorical(y_train)\n","y_val = tfk.utils.to_categorical(y_val)\n","y_test = tfk.utils.to_categorical(y_test)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":3,"status":"ok","timestamp":1732286352234,"user":{"displayName":"Alessandro Ciotti","userId":"01193109251883175470"},"user_tz":-60},"id":"UyDwQ9u7cdXP","outputId":"fe92cb8c-c485-463d-e5f4-3b8985fd1559"},"outputs":[{"output_type":"stream","name":"stdout","text":["Input Shape: (96, 96, 3)\n","Output Shape: 8\n"]}],"source":["# Input shape for the model\n","input_shape = X_train.shape[1:]\n","\n","# Output shape for the model\n","output_shape = y_train.shape[1]\n","\n","print(\"Input Shape:\", input_shape)\n","print(\"Output Shape:\", output_shape)"]},{"cell_type":"code","execution_count":null,"metadata":{"collapsed":true,"id":"h4-tlfn5chqG"},"outputs":[],"source":["#EfficientNet V2S\n","EffNet = tfk.applications.EfficientNetV2S(\n","    input_shape=(160, 160, 3),\n","    include_top=False,\n","    weights='imagenet',\n","    pooling='avg'\n",")\n","\n","# Display a summary of the model architecture\n","EffNet.summary(expand_nested=True)\n","\n","# Display model architecture with layer shapes and trainable parameters\n","tfk.utils.plot_model(EffNet, expand_nested=True, show_trainable=True, show_shapes=True, dpi=70)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"9pQjkecqckIf"},"outputs":[],"source":["## Freeze all layers in EfficientNetB0 to use it solely as a feature extractor\n","EffNet.trainable = False\n","\n","# Define input layer with shape matching the input images\n","inputs = tfk.Input(shape=(96, 96, 3), name='input_layer')\n","\n","# Pre processing\n","augmentation = tf.keras.Sequential([\n","    tfkl.Resizing(160, 160),\n","], name='preprocessing')\n","\n","x = augmentation(inputs)\n","\n","# Pass augmented inputs through the EfficientNet feature extractor\n","x = EffNet(x)\n","\n","# First dense layer\n","x = tfkl.Dense(64, activation=\"relu\", name=\"Dense1\")(x)\n","\n","# Add a dropout layer for regularisation\n","x = tfkl.Dropout(0.3, name='dropout')(x)\n","\n","# Add final Dense layer for classification with softmax activation\n","outputs = tfkl.Dense(y_train.shape[-1], activation='softmax', name='dense2')(x)\n"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"collapsed":true,"executionInfo":{"elapsed":594,"status":"ok","timestamp":1732286375660,"user":{"displayName":"Alessandro Ciotti","userId":"01193109251883175470"},"user_tz":-60},"id":"ugo-bGiJe8Rd","outputId":"b6c7f422-7d50-47d0-b8ce-9273babeb644"},"outputs":[{"output_type":"display_data","data":{"text/plain":["\u001b[1mModel: \"model_FT\"\u001b[0m\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"model_FT\"</span>\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓\n","┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                        \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape               \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m        Param #\u001b[0m\u001b[1m \u001b[0m┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩\n","│ input_layer (\u001b[38;5;33mInputLayer\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m96\u001b[0m, \u001b[38;5;34m96\u001b[0m, \u001b[38;5;34m3\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ preprocessing (\u001b[38;5;33mSequential\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m160\u001b[0m, \u001b[38;5;34m160\u001b[0m, \u001b[38;5;34m3\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ resizing (\u001b[38;5;33mResizing\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m160\u001b[0m, \u001b[38;5;34m160\u001b[0m, \u001b[38;5;34m3\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ efficientnetv2-s (\u001b[38;5;33mFunctional\u001b[0m)        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1280\u001b[0m)                │      \u001b[38;5;34m20,331,360\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ input_layer (\u001b[38;5;33mInputLayer\u001b[0m)        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m160\u001b[0m, \u001b[38;5;34m160\u001b[0m, \u001b[38;5;34m3\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ rescaling (\u001b[38;5;33mRescaling\u001b[0m)           │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m160\u001b[0m, \u001b[38;5;34m160\u001b[0m, \u001b[38;5;34m3\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ stem_conv (\u001b[38;5;33mConv2D\u001b[0m)              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m80\u001b[0m, \u001b[38;5;34m80\u001b[0m, \u001b[38;5;34m24\u001b[0m)          │             \u001b[38;5;34m648\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ stem_bn (\u001b[38;5;33mBatchNormalization\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m80\u001b[0m, \u001b[38;5;34m80\u001b[0m, \u001b[38;5;34m24\u001b[0m)          │              \u001b[38;5;34m96\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ stem_activation (\u001b[38;5;33mActivation\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m80\u001b[0m, \u001b[38;5;34m80\u001b[0m, \u001b[38;5;34m24\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block1a_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m80\u001b[0m, \u001b[38;5;34m80\u001b[0m, \u001b[38;5;34m24\u001b[0m)          │           \u001b[38;5;34m5,184\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block1a_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m80\u001b[0m, \u001b[38;5;34m80\u001b[0m, \u001b[38;5;34m24\u001b[0m)          │              \u001b[38;5;34m96\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block1a_project_activation      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m80\u001b[0m, \u001b[38;5;34m80\u001b[0m, \u001b[38;5;34m24\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block1a_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m80\u001b[0m, \u001b[38;5;34m80\u001b[0m, \u001b[38;5;34m24\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block1b_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m80\u001b[0m, \u001b[38;5;34m80\u001b[0m, \u001b[38;5;34m24\u001b[0m)          │           \u001b[38;5;34m5,184\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block1b_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m80\u001b[0m, \u001b[38;5;34m80\u001b[0m, \u001b[38;5;34m24\u001b[0m)          │              \u001b[38;5;34m96\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block1b_project_activation      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m80\u001b[0m, \u001b[38;5;34m80\u001b[0m, \u001b[38;5;34m24\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block1b_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m80\u001b[0m, \u001b[38;5;34m80\u001b[0m, \u001b[38;5;34m24\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block1b_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m80\u001b[0m, \u001b[38;5;34m80\u001b[0m, \u001b[38;5;34m24\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2a_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m96\u001b[0m)          │          \u001b[38;5;34m20,736\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2a_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m96\u001b[0m)          │             \u001b[38;5;34m384\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2a_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m96\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2a_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m48\u001b[0m)          │           \u001b[38;5;34m4,608\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2a_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m48\u001b[0m)          │             \u001b[38;5;34m192\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2b_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m192\u001b[0m)         │          \u001b[38;5;34m82,944\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2b_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m192\u001b[0m)         │             \u001b[38;5;34m768\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2b_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m192\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2b_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m48\u001b[0m)          │           \u001b[38;5;34m9,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2b_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m48\u001b[0m)          │             \u001b[38;5;34m192\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2b_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m48\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2b_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m48\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2c_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m192\u001b[0m)         │          \u001b[38;5;34m82,944\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2c_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m192\u001b[0m)         │             \u001b[38;5;34m768\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2c_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m192\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2c_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m48\u001b[0m)          │           \u001b[38;5;34m9,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2c_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m48\u001b[0m)          │             \u001b[38;5;34m192\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2c_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m48\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2c_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m48\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2d_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m192\u001b[0m)         │          \u001b[38;5;34m82,944\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2d_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m192\u001b[0m)         │             \u001b[38;5;34m768\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2d_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m192\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2d_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m48\u001b[0m)          │           \u001b[38;5;34m9,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2d_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m48\u001b[0m)          │             \u001b[38;5;34m192\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2d_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m48\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2d_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m40\u001b[0m, \u001b[38;5;34m48\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3a_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m192\u001b[0m)         │          \u001b[38;5;34m82,944\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3a_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m192\u001b[0m)         │             \u001b[38;5;34m768\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3a_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m192\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3a_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m64\u001b[0m)          │          \u001b[38;5;34m12,288\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3a_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m64\u001b[0m)          │             \u001b[38;5;34m256\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3b_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m256\u001b[0m)         │         \u001b[38;5;34m147,456\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3b_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m256\u001b[0m)         │           \u001b[38;5;34m1,024\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3b_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m256\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3b_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m64\u001b[0m)          │          \u001b[38;5;34m16,384\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3b_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m64\u001b[0m)          │             \u001b[38;5;34m256\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3b_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m64\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3b_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m64\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3c_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m256\u001b[0m)         │         \u001b[38;5;34m147,456\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3c_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m256\u001b[0m)         │           \u001b[38;5;34m1,024\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3c_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m256\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3c_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m64\u001b[0m)          │          \u001b[38;5;34m16,384\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3c_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m64\u001b[0m)          │             \u001b[38;5;34m256\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3c_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m64\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3c_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m64\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3d_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m256\u001b[0m)         │         \u001b[38;5;34m147,456\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3d_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m256\u001b[0m)         │           \u001b[38;5;34m1,024\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3d_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m256\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3d_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m64\u001b[0m)          │          \u001b[38;5;34m16,384\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3d_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m64\u001b[0m)          │             \u001b[38;5;34m256\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3d_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m64\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3d_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m64\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4a_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m256\u001b[0m)         │          \u001b[38;5;34m16,384\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4a_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m256\u001b[0m)         │           \u001b[38;5;34m1,024\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4a_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m20\u001b[0m, \u001b[38;5;34m256\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4a_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m256\u001b[0m)         │           \u001b[38;5;34m2,304\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4a_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m256\u001b[0m)         │           \u001b[38;5;34m1,024\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4a_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m256\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4a_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)                 │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4a_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4a_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m16\u001b[0m)            │           \u001b[38;5;34m4,112\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4a_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │           \u001b[38;5;34m4,352\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4a_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m256\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4a_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m128\u001b[0m)         │          \u001b[38;5;34m32,768\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4a_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m128\u001b[0m)         │             \u001b[38;5;34m512\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │          \u001b[38;5;34m65,536\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │           \u001b[38;5;34m2,048\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │           \u001b[38;5;34m4,608\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │           \u001b[38;5;34m2,048\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m)                 │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m512\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m32\u001b[0m)            │          \u001b[38;5;34m16,416\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m512\u001b[0m)           │          \u001b[38;5;34m16,896\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m128\u001b[0m)         │          \u001b[38;5;34m65,536\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m128\u001b[0m)         │             \u001b[38;5;34m512\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m128\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m128\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │          \u001b[38;5;34m65,536\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │           \u001b[38;5;34m2,048\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │           \u001b[38;5;34m4,608\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │           \u001b[38;5;34m2,048\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m)                 │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m512\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m32\u001b[0m)            │          \u001b[38;5;34m16,416\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m512\u001b[0m)           │          \u001b[38;5;34m16,896\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m128\u001b[0m)         │          \u001b[38;5;34m65,536\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m128\u001b[0m)         │             \u001b[38;5;34m512\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m128\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m128\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │          \u001b[38;5;34m65,536\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │           \u001b[38;5;34m2,048\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │           \u001b[38;5;34m4,608\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │           \u001b[38;5;34m2,048\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m)                 │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m512\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m32\u001b[0m)            │          \u001b[38;5;34m16,416\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m512\u001b[0m)           │          \u001b[38;5;34m16,896\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m128\u001b[0m)         │          \u001b[38;5;34m65,536\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m128\u001b[0m)         │             \u001b[38;5;34m512\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m128\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m128\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │          \u001b[38;5;34m65,536\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │           \u001b[38;5;34m2,048\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │           \u001b[38;5;34m4,608\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │           \u001b[38;5;34m2,048\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m)                 │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m512\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m32\u001b[0m)            │          \u001b[38;5;34m16,416\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m512\u001b[0m)           │          \u001b[38;5;34m16,896\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m128\u001b[0m)         │          \u001b[38;5;34m65,536\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m128\u001b[0m)         │             \u001b[38;5;34m512\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m128\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m128\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │          \u001b[38;5;34m65,536\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │           \u001b[38;5;34m2,048\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │           \u001b[38;5;34m4,608\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │           \u001b[38;5;34m2,048\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m)                 │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m512\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m32\u001b[0m)            │          \u001b[38;5;34m16,416\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m512\u001b[0m)           │          \u001b[38;5;34m16,896\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m512\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m128\u001b[0m)         │          \u001b[38;5;34m65,536\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m128\u001b[0m)         │             \u001b[38;5;34m512\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m128\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m128\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5a_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m768\u001b[0m)         │          \u001b[38;5;34m98,304\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5a_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m768\u001b[0m)         │           \u001b[38;5;34m3,072\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5a_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m768\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5a_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m768\u001b[0m)         │           \u001b[38;5;34m6,912\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5a_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m768\u001b[0m)         │           \u001b[38;5;34m3,072\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5a_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m768\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5a_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m768\u001b[0m)                 │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5a_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m768\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5a_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m32\u001b[0m)            │          \u001b[38;5;34m24,608\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5a_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m768\u001b[0m)           │          \u001b[38;5;34m25,344\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5a_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m768\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5a_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │         \u001b[38;5;34m122,880\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5a_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │             \u001b[38;5;34m640\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │         \u001b[38;5;34m153,600\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │           \u001b[38;5;34m3,840\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │           \u001b[38;5;34m8,640\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │           \u001b[38;5;34m3,840\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m960\u001b[0m)                 │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m960\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m40\u001b[0m)            │          \u001b[38;5;34m38,440\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m960\u001b[0m)           │          \u001b[38;5;34m39,360\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │         \u001b[38;5;34m153,600\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │             \u001b[38;5;34m640\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │         \u001b[38;5;34m153,600\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │           \u001b[38;5;34m3,840\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │           \u001b[38;5;34m8,640\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │           \u001b[38;5;34m3,840\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m960\u001b[0m)                 │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m960\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m40\u001b[0m)            │          \u001b[38;5;34m38,440\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m960\u001b[0m)           │          \u001b[38;5;34m39,360\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │         \u001b[38;5;34m153,600\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │             \u001b[38;5;34m640\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │         \u001b[38;5;34m153,600\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │           \u001b[38;5;34m3,840\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │           \u001b[38;5;34m8,640\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │           \u001b[38;5;34m3,840\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m960\u001b[0m)                 │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m960\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m40\u001b[0m)            │          \u001b[38;5;34m38,440\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m960\u001b[0m)           │          \u001b[38;5;34m39,360\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │         \u001b[38;5;34m153,600\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │             \u001b[38;5;34m640\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │         \u001b[38;5;34m153,600\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │           \u001b[38;5;34m3,840\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │           \u001b[38;5;34m8,640\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │           \u001b[38;5;34m3,840\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m960\u001b[0m)                 │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m960\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m40\u001b[0m)            │          \u001b[38;5;34m38,440\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m960\u001b[0m)           │          \u001b[38;5;34m39,360\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │         \u001b[38;5;34m153,600\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │             \u001b[38;5;34m640\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │         \u001b[38;5;34m153,600\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │           \u001b[38;5;34m3,840\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │           \u001b[38;5;34m8,640\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │           \u001b[38;5;34m3,840\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m960\u001b[0m)                 │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m960\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m40\u001b[0m)            │          \u001b[38;5;34m38,440\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m960\u001b[0m)           │          \u001b[38;5;34m39,360\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │         \u001b[38;5;34m153,600\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │             \u001b[38;5;34m640\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │         \u001b[38;5;34m153,600\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │           \u001b[38;5;34m3,840\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │           \u001b[38;5;34m8,640\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │           \u001b[38;5;34m3,840\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m960\u001b[0m)                 │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m960\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m40\u001b[0m)            │          \u001b[38;5;34m38,440\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m960\u001b[0m)           │          \u001b[38;5;34m39,360\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │         \u001b[38;5;34m153,600\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │             \u001b[38;5;34m640\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │         \u001b[38;5;34m153,600\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │           \u001b[38;5;34m3,840\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │           \u001b[38;5;34m8,640\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │           \u001b[38;5;34m3,840\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m960\u001b[0m)                 │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m960\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m40\u001b[0m)            │          \u001b[38;5;34m38,440\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m960\u001b[0m)           │          \u001b[38;5;34m39,360\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │         \u001b[38;5;34m153,600\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │             \u001b[38;5;34m640\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │         \u001b[38;5;34m153,600\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │           \u001b[38;5;34m3,840\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │           \u001b[38;5;34m8,640\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │           \u001b[38;5;34m3,840\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m960\u001b[0m)                 │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m960\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m40\u001b[0m)            │          \u001b[38;5;34m38,440\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m960\u001b[0m)           │          \u001b[38;5;34m39,360\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │         \u001b[38;5;34m153,600\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │             \u001b[38;5;34m640\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m160\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6a_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │         \u001b[38;5;34m153,600\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6a_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │           \u001b[38;5;34m3,840\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6a_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m960\u001b[0m)         │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6a_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m960\u001b[0m)           │           \u001b[38;5;34m8,640\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6a_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m960\u001b[0m)           │           \u001b[38;5;34m3,840\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6a_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m960\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6a_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m960\u001b[0m)                 │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6a_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m960\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6a_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m40\u001b[0m)            │          \u001b[38;5;34m38,440\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6a_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m960\u001b[0m)           │          \u001b[38;5;34m39,360\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6a_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m960\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6a_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │         \u001b[38;5;34m245,760\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6a_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │           \u001b[38;5;34m1,024\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │         \u001b[38;5;34m393,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │           \u001b[38;5;34m6,144\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │          \u001b[38;5;34m13,824\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │           \u001b[38;5;34m6,144\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1536\u001b[0m)                │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m64\u001b[0m)            │          \u001b[38;5;34m98,368\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │          \u001b[38;5;34m99,840\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │         \u001b[38;5;34m393,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │           \u001b[38;5;34m1,024\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │         \u001b[38;5;34m393,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │           \u001b[38;5;34m6,144\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │          \u001b[38;5;34m13,824\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │           \u001b[38;5;34m6,144\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1536\u001b[0m)                │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m64\u001b[0m)            │          \u001b[38;5;34m98,368\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │          \u001b[38;5;34m99,840\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │         \u001b[38;5;34m393,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │           \u001b[38;5;34m1,024\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │         \u001b[38;5;34m393,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │           \u001b[38;5;34m6,144\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │          \u001b[38;5;34m13,824\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │           \u001b[38;5;34m6,144\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1536\u001b[0m)                │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m64\u001b[0m)            │          \u001b[38;5;34m98,368\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │          \u001b[38;5;34m99,840\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │         \u001b[38;5;34m393,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │           \u001b[38;5;34m1,024\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │         \u001b[38;5;34m393,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │           \u001b[38;5;34m6,144\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │          \u001b[38;5;34m13,824\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │           \u001b[38;5;34m6,144\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1536\u001b[0m)                │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m64\u001b[0m)            │          \u001b[38;5;34m98,368\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │          \u001b[38;5;34m99,840\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │         \u001b[38;5;34m393,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │           \u001b[38;5;34m1,024\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │         \u001b[38;5;34m393,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │           \u001b[38;5;34m6,144\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │          \u001b[38;5;34m13,824\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │           \u001b[38;5;34m6,144\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1536\u001b[0m)                │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m64\u001b[0m)            │          \u001b[38;5;34m98,368\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │          \u001b[38;5;34m99,840\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │         \u001b[38;5;34m393,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │           \u001b[38;5;34m1,024\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │         \u001b[38;5;34m393,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │           \u001b[38;5;34m6,144\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │          \u001b[38;5;34m13,824\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │           \u001b[38;5;34m6,144\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1536\u001b[0m)                │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m64\u001b[0m)            │          \u001b[38;5;34m98,368\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │          \u001b[38;5;34m99,840\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │         \u001b[38;5;34m393,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │           \u001b[38;5;34m1,024\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │         \u001b[38;5;34m393,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │           \u001b[38;5;34m6,144\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │          \u001b[38;5;34m13,824\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │           \u001b[38;5;34m6,144\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1536\u001b[0m)                │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m64\u001b[0m)            │          \u001b[38;5;34m98,368\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │          \u001b[38;5;34m99,840\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │         \u001b[38;5;34m393,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │           \u001b[38;5;34m1,024\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │         \u001b[38;5;34m393,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │           \u001b[38;5;34m6,144\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │          \u001b[38;5;34m13,824\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │           \u001b[38;5;34m6,144\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1536\u001b[0m)                │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m64\u001b[0m)            │          \u001b[38;5;34m98,368\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │          \u001b[38;5;34m99,840\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │         \u001b[38;5;34m393,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │           \u001b[38;5;34m1,024\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │         \u001b[38;5;34m393,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │           \u001b[38;5;34m6,144\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │          \u001b[38;5;34m13,824\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │           \u001b[38;5;34m6,144\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1536\u001b[0m)                │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m64\u001b[0m)            │          \u001b[38;5;34m98,368\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │          \u001b[38;5;34m99,840\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │         \u001b[38;5;34m393,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │           \u001b[38;5;34m1,024\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │         \u001b[38;5;34m393,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │           \u001b[38;5;34m6,144\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │          \u001b[38;5;34m13,824\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │           \u001b[38;5;34m6,144\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1536\u001b[0m)                │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m64\u001b[0m)            │          \u001b[38;5;34m98,368\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │          \u001b[38;5;34m99,840\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │         \u001b[38;5;34m393,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │           \u001b[38;5;34m1,024\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │         \u001b[38;5;34m393,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │           \u001b[38;5;34m6,144\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │          \u001b[38;5;34m13,824\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │           \u001b[38;5;34m6,144\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1536\u001b[0m)                │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m64\u001b[0m)            │          \u001b[38;5;34m98,368\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │          \u001b[38;5;34m99,840\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │         \u001b[38;5;34m393,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │           \u001b[38;5;34m1,024\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │         \u001b[38;5;34m393,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │           \u001b[38;5;34m6,144\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │          \u001b[38;5;34m13,824\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │           \u001b[38;5;34m6,144\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1536\u001b[0m)                │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m64\u001b[0m)            │          \u001b[38;5;34m98,368\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │          \u001b[38;5;34m99,840\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │         \u001b[38;5;34m393,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │           \u001b[38;5;34m1,024\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │         \u001b[38;5;34m393,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │           \u001b[38;5;34m6,144\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │          \u001b[38;5;34m13,824\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │           \u001b[38;5;34m6,144\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1536\u001b[0m)                │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m64\u001b[0m)            │          \u001b[38;5;34m98,368\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │          \u001b[38;5;34m99,840\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │         \u001b[38;5;34m393,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │           \u001b[38;5;34m1,024\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_expand_conv (\u001b[38;5;33mConv2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │         \u001b[38;5;34m393,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_expand_bn               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │           \u001b[38;5;34m6,144\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_expand_activation       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mActivation\u001b[0m)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_dwconv2                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │          \u001b[38;5;34m13,824\u001b[0m │\n","│ (\u001b[38;5;33mDepthwiseConv2D\u001b[0m)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_bn (\u001b[38;5;33mBatchNormalization\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │           \u001b[38;5;34m6,144\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_activation (\u001b[38;5;33mActivation\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_se_squeeze              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1536\u001b[0m)                │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_se_reshape (\u001b[38;5;33mReshape\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_se_reduce (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m64\u001b[0m)            │          \u001b[38;5;34m98,368\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_se_expand (\u001b[38;5;33mConv2D\u001b[0m)      │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │          \u001b[38;5;34m99,840\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_se_excite (\u001b[38;5;33mMultiply\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1536\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_project_conv (\u001b[38;5;33mConv2D\u001b[0m)   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │         \u001b[38;5;34m393,216\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_project_bn              │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │           \u001b[38;5;34m1,024\u001b[0m │\n","│ (\u001b[38;5;33mBatchNormalization\u001b[0m)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_drop (\u001b[38;5;33mDropout\u001b[0m)          │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_add (\u001b[38;5;33mAdd\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m256\u001b[0m)           │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ top_conv (\u001b[38;5;33mConv2D\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1280\u001b[0m)          │         \u001b[38;5;34m327,680\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ top_bn (\u001b[38;5;33mBatchNormalization\u001b[0m)     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1280\u001b[0m)          │           \u001b[38;5;34m5,120\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ top_activation (\u001b[38;5;33mActivation\u001b[0m)     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m1280\u001b[0m)          │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ avg_pool                        │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1280\u001b[0m)                │               \u001b[38;5;34m0\u001b[0m │\n","│ (\u001b[38;5;33mGlobalAveragePooling2D\u001b[0m)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ Dense1 (\u001b[38;5;33mDense\u001b[0m)                       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)                  │          \u001b[38;5;34m81,984\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ dropout (\u001b[38;5;33mDropout\u001b[0m)                    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)                  │               \u001b[38;5;34m0\u001b[0m │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ dense2 (\u001b[38;5;33mDense\u001b[0m)                       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m8\u001b[0m)                   │             \u001b[38;5;34m520\u001b[0m │\n","└──────────────────────────────────────┴─────────────────────────────┴─────────────────┘\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓\n","┃<span style=\"font-weight: bold\"> Layer (type)                         </span>┃<span style=\"font-weight: bold\"> Output Shape                </span>┃<span style=\"font-weight: bold\">         Param # </span>┃\n","┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩\n","│ input_layer (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">3</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ preprocessing (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Sequential</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">3</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ resizing (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Resizing</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">3</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ efficientnetv2-s (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Functional</span>)        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1280</span>)                │      <span style=\"color: #00af00; text-decoration-color: #00af00\">20,331,360</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ input_layer (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">InputLayer</span>)        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">3</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ rescaling (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Rescaling</span>)           │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">3</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ stem_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">24</span>)          │             <span style=\"color: #00af00; text-decoration-color: #00af00\">648</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ stem_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">24</span>)          │              <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ stem_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">24</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block1a_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">24</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">5,184</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block1a_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">24</span>)          │              <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block1a_project_activation      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">24</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block1a_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">24</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block1b_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">24</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">5,184</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block1b_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">24</span>)          │              <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block1b_project_activation      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">24</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block1b_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">24</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block1b_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">80</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">24</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2a_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">20,736</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2a_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)          │             <span style=\"color: #00af00; text-decoration-color: #00af00\">384</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2a_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">96</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2a_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">4,608</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2a_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)          │             <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2b_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)         │          <span style=\"color: #00af00; text-decoration-color: #00af00\">82,944</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2b_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)         │             <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2b_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2b_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2b_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)          │             <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2b_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2b_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2c_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)         │          <span style=\"color: #00af00; text-decoration-color: #00af00\">82,944</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2c_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)         │             <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2c_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2c_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2c_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)          │             <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2c_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2c_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2d_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)         │          <span style=\"color: #00af00; text-decoration-color: #00af00\">82,944</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2d_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)         │             <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2d_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2d_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">9,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2d_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)          │             <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2d_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block2d_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">48</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3a_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)         │          <span style=\"color: #00af00; text-decoration-color: #00af00\">82,944</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3a_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)         │             <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3a_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">192</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3a_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">12,288</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3a_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)          │             <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3b_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)         │         <span style=\"color: #00af00; text-decoration-color: #00af00\">147,456</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3b_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">1,024</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3b_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3b_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">16,384</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3b_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)          │             <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3b_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3b_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3c_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)         │         <span style=\"color: #00af00; text-decoration-color: #00af00\">147,456</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3c_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">1,024</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3c_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3c_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">16,384</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3c_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)          │             <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3c_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3c_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3d_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)         │         <span style=\"color: #00af00; text-decoration-color: #00af00\">147,456</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3d_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">1,024</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3d_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3d_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">16,384</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3d_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)          │             <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3d_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block3d_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4a_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)         │          <span style=\"color: #00af00; text-decoration-color: #00af00\">16,384</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4a_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">1,024</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4a_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">20</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4a_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">2,304</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4a_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">1,024</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4a_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4a_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)                 │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4a_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4a_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">16</span>)            │           <span style=\"color: #00af00; text-decoration-color: #00af00\">4,112</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4a_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │           <span style=\"color: #00af00; text-decoration-color: #00af00\">4,352</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4a_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4a_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)         │          <span style=\"color: #00af00; text-decoration-color: #00af00\">32,768</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4a_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)         │             <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │          <span style=\"color: #00af00; text-decoration-color: #00af00\">65,536</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">2,048</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">4,608</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">2,048</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)                 │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">16,416</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)           │          <span style=\"color: #00af00; text-decoration-color: #00af00\">16,896</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)         │          <span style=\"color: #00af00; text-decoration-color: #00af00\">65,536</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)         │             <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4b_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │          <span style=\"color: #00af00; text-decoration-color: #00af00\">65,536</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">2,048</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">4,608</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">2,048</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)                 │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">16,416</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)           │          <span style=\"color: #00af00; text-decoration-color: #00af00\">16,896</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)         │          <span style=\"color: #00af00; text-decoration-color: #00af00\">65,536</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)         │             <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4c_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │          <span style=\"color: #00af00; text-decoration-color: #00af00\">65,536</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">2,048</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">4,608</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">2,048</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)                 │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">16,416</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)           │          <span style=\"color: #00af00; text-decoration-color: #00af00\">16,896</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)         │          <span style=\"color: #00af00; text-decoration-color: #00af00\">65,536</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)         │             <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4d_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │          <span style=\"color: #00af00; text-decoration-color: #00af00\">65,536</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">2,048</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">4,608</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">2,048</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)                 │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">16,416</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)           │          <span style=\"color: #00af00; text-decoration-color: #00af00\">16,896</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)         │          <span style=\"color: #00af00; text-decoration-color: #00af00\">65,536</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)         │             <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4e_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │          <span style=\"color: #00af00; text-decoration-color: #00af00\">65,536</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">2,048</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">4,608</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">2,048</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)                 │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">16,416</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)           │          <span style=\"color: #00af00; text-decoration-color: #00af00\">16,896</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)         │          <span style=\"color: #00af00; text-decoration-color: #00af00\">65,536</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)         │             <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block4f_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5a_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span>)         │          <span style=\"color: #00af00; text-decoration-color: #00af00\">98,304</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5a_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">3,072</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5a_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5a_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">6,912</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5a_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">3,072</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5a_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5a_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span>)                 │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5a_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5a_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">32</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">24,608</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5a_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span>)           │          <span style=\"color: #00af00; text-decoration-color: #00af00\">25,344</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5a_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">768</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5a_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │         <span style=\"color: #00af00; text-decoration-color: #00af00\">122,880</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5a_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │             <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │         <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">8,640</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)                 │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">38,440</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)           │          <span style=\"color: #00af00; text-decoration-color: #00af00\">39,360</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │         <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │             <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5b_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │         <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">8,640</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)                 │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">38,440</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)           │          <span style=\"color: #00af00; text-decoration-color: #00af00\">39,360</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │         <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │             <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5c_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │         <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">8,640</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)                 │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">38,440</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)           │          <span style=\"color: #00af00; text-decoration-color: #00af00\">39,360</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │         <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │             <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5d_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │         <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">8,640</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)                 │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">38,440</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)           │          <span style=\"color: #00af00; text-decoration-color: #00af00\">39,360</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │         <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │             <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5e_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │         <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">8,640</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)                 │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">38,440</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)           │          <span style=\"color: #00af00; text-decoration-color: #00af00\">39,360</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │         <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │             <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5f_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │         <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">8,640</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)                 │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">38,440</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)           │          <span style=\"color: #00af00; text-decoration-color: #00af00\">39,360</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │         <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │             <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5g_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │         <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">8,640</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)                 │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">38,440</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)           │          <span style=\"color: #00af00; text-decoration-color: #00af00\">39,360</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │         <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │             <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5h_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │         <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">8,640</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)                 │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">38,440</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)           │          <span style=\"color: #00af00; text-decoration-color: #00af00\">39,360</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │         <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │             <span style=\"color: #00af00; text-decoration-color: #00af00\">640</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block5i_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">160</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6a_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │         <span style=\"color: #00af00; text-decoration-color: #00af00\">153,600</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6a_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │           <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6a_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)         │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6a_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)           │           <span style=\"color: #00af00; text-decoration-color: #00af00\">8,640</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6a_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)           │           <span style=\"color: #00af00; text-decoration-color: #00af00\">3,840</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6a_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6a_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)                 │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6a_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6a_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">40</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">38,440</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6a_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)           │          <span style=\"color: #00af00; text-decoration-color: #00af00\">39,360</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6a_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">960</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6a_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │         <span style=\"color: #00af00; text-decoration-color: #00af00\">245,760</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6a_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │           <span style=\"color: #00af00; text-decoration-color: #00af00\">1,024</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │         <span style=\"color: #00af00; text-decoration-color: #00af00\">393,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">13,824</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)                │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">98,368</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">99,840</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │         <span style=\"color: #00af00; text-decoration-color: #00af00\">393,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │           <span style=\"color: #00af00; text-decoration-color: #00af00\">1,024</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6b_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │         <span style=\"color: #00af00; text-decoration-color: #00af00\">393,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">13,824</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)                │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">98,368</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">99,840</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │         <span style=\"color: #00af00; text-decoration-color: #00af00\">393,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │           <span style=\"color: #00af00; text-decoration-color: #00af00\">1,024</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6c_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │         <span style=\"color: #00af00; text-decoration-color: #00af00\">393,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">13,824</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)                │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">98,368</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">99,840</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │         <span style=\"color: #00af00; text-decoration-color: #00af00\">393,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │           <span style=\"color: #00af00; text-decoration-color: #00af00\">1,024</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6d_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │         <span style=\"color: #00af00; text-decoration-color: #00af00\">393,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">13,824</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)                │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">98,368</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">99,840</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │         <span style=\"color: #00af00; text-decoration-color: #00af00\">393,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │           <span style=\"color: #00af00; text-decoration-color: #00af00\">1,024</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6e_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │         <span style=\"color: #00af00; text-decoration-color: #00af00\">393,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">13,824</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)                │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">98,368</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">99,840</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │         <span style=\"color: #00af00; text-decoration-color: #00af00\">393,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │           <span style=\"color: #00af00; text-decoration-color: #00af00\">1,024</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6f_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │         <span style=\"color: #00af00; text-decoration-color: #00af00\">393,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">13,824</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)                │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">98,368</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">99,840</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │         <span style=\"color: #00af00; text-decoration-color: #00af00\">393,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │           <span style=\"color: #00af00; text-decoration-color: #00af00\">1,024</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6g_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │         <span style=\"color: #00af00; text-decoration-color: #00af00\">393,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">13,824</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)                │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">98,368</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">99,840</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │         <span style=\"color: #00af00; text-decoration-color: #00af00\">393,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │           <span style=\"color: #00af00; text-decoration-color: #00af00\">1,024</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6h_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │         <span style=\"color: #00af00; text-decoration-color: #00af00\">393,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">13,824</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)                │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">98,368</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">99,840</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │         <span style=\"color: #00af00; text-decoration-color: #00af00\">393,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │           <span style=\"color: #00af00; text-decoration-color: #00af00\">1,024</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6i_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │         <span style=\"color: #00af00; text-decoration-color: #00af00\">393,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">13,824</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)                │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">98,368</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">99,840</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │         <span style=\"color: #00af00; text-decoration-color: #00af00\">393,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │           <span style=\"color: #00af00; text-decoration-color: #00af00\">1,024</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6j_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │         <span style=\"color: #00af00; text-decoration-color: #00af00\">393,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">13,824</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)                │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">98,368</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">99,840</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │         <span style=\"color: #00af00; text-decoration-color: #00af00\">393,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │           <span style=\"color: #00af00; text-decoration-color: #00af00\">1,024</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6k_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │         <span style=\"color: #00af00; text-decoration-color: #00af00\">393,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">13,824</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)                │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">98,368</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">99,840</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │         <span style=\"color: #00af00; text-decoration-color: #00af00\">393,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │           <span style=\"color: #00af00; text-decoration-color: #00af00\">1,024</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6l_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │         <span style=\"color: #00af00; text-decoration-color: #00af00\">393,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">13,824</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)                │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">98,368</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">99,840</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │         <span style=\"color: #00af00; text-decoration-color: #00af00\">393,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │           <span style=\"color: #00af00; text-decoration-color: #00af00\">1,024</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6m_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │         <span style=\"color: #00af00; text-decoration-color: #00af00\">393,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">13,824</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)                │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">98,368</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">99,840</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │         <span style=\"color: #00af00; text-decoration-color: #00af00\">393,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │           <span style=\"color: #00af00; text-decoration-color: #00af00\">1,024</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6n_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_expand_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │         <span style=\"color: #00af00; text-decoration-color: #00af00\">393,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_expand_bn               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_expand_activation       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)                         │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_dwconv2                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">13,824</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">DepthwiseConv2D</span>)                    │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">6,144</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>) │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_se_squeeze              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)                │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_se_reshape (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Reshape</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_se_reduce (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)            │          <span style=\"color: #00af00; text-decoration-color: #00af00\">98,368</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_se_expand (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)      │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │          <span style=\"color: #00af00; text-decoration-color: #00af00\">99,840</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_se_excite (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Multiply</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1536</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_project_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │         <span style=\"color: #00af00; text-decoration-color: #00af00\">393,216</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_project_bn              │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │           <span style=\"color: #00af00; text-decoration-color: #00af00\">1,024</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)                 │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_drop (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)          │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ block6o_add (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Add</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)           │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ top_conv (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1280</span>)          │         <span style=\"color: #00af00; text-decoration-color: #00af00\">327,680</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ top_bn (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">BatchNormalization</span>)     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1280</span>)          │           <span style=\"color: #00af00; text-decoration-color: #00af00\">5,120</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ top_activation (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Activation</span>)     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">5</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1280</span>)          │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│    └ avg_pool                        │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1280</span>)                │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","│ (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GlobalAveragePooling2D</span>)             │                             │                 │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ Dense1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)                  │          <span style=\"color: #00af00; text-decoration-color: #00af00\">81,984</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ dropout (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)                    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)                  │               <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n","├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n","│ dense2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>)                   │             <span style=\"color: #00af00; text-decoration-color: #00af00\">520</span> │\n","└──────────────────────────────────────┴─────────────────────────────┴─────────────────┘\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Total params: \u001b[0m\u001b[38;5;34m20,413,864\u001b[0m (77.87 MB)\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">20,413,864</span> (77.87 MB)\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m18,352,208\u001b[0m (70.01 MB)\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">18,352,208</span> (70.01 MB)\n","</pre>\n"]},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m2,061,656\u001b[0m (7.86 MB)\n"],"text/html":["<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">2,061,656</span> (7.86 MB)\n","</pre>\n"]},"metadata":{}}],"source":["# fine tuning model\n","ft_model = tfk.Model(inputs=inputs, outputs=outputs, name='model_FT')\n","\n","# Enable training only for Conv2D + L2 regularization to prevent overfitting\n","for i, layer in enumerate(ft_model.get_layer('efficientnetv2-s').layers):\n","    if isinstance(layer, tf.keras.layers.Conv2D) :\n","        layer.trainable = True\n","        layer.kernel_regularizer = tfk.regularizers.l2(0.001)\n","\n","# Set the number of layers to freeze\n","N = 124\n","\n","# Set the first N layers as non-trainable\n","for i, layer in enumerate(ft_model.get_layer('efficientnetv2-s').layers[:N]):\n","    layer.trainable = False\n","\n","# AdamW optimizer\n","optimizer = tfk.optimizers.AdamW(learning_rate=0.0001)\n","\n","# Compile the model\n","ft_model.compile(loss=tfk.losses.CategoricalCrossentropy(), optimizer=optimizer, metrics=['accuracy'])\n","\n","ft_model.summary(expand_nested=True)"]},{"cell_type":"markdown","metadata":{"id":"5RxA9v6fo3o9"},"source":["## 💪 TRAINING - FINE TUNING"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"De5NTWdze_iC","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1732288358292,"user_tz":-60,"elapsed":1934969,"user":{"displayName":"Alessandro Ciotti","userId":"01193109251883175470"}},"outputId":"8d2c86a1-8ea8-4f32-c71d-a79627ab5c88"},"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 1/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m164s\u001b[0m 52ms/step - accuracy: 0.6267 - loss: 1.0434 - val_accuracy: 0.9670 - val_loss: 0.1044\n","Epoch 2/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m52s\u001b[0m 29ms/step - accuracy: 0.8631 - loss: 0.4165 - val_accuracy: 0.9720 - val_loss: 0.0903\n","Epoch 3/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m51s\u001b[0m 28ms/step - accuracy: 0.9113 - loss: 0.2713 - val_accuracy: 0.9802 - val_loss: 0.0699\n","Epoch 4/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m49s\u001b[0m 27ms/step - accuracy: 0.9349 - loss: 0.1992 - val_accuracy: 0.9758 - val_loss: 0.0897\n","Epoch 5/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m49s\u001b[0m 27ms/step - accuracy: 0.9533 - loss: 0.1490 - val_accuracy: 0.9807 - val_loss: 0.0716\n","Epoch 6/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m50s\u001b[0m 28ms/step - accuracy: 0.9634 - loss: 0.1140 - val_accuracy: 0.9810 - val_loss: 0.1017\n","Epoch 7/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m50s\u001b[0m 28ms/step - accuracy: 0.9713 - loss: 0.0914 - val_accuracy: 0.9768 - val_loss: 0.1067\n","Epoch 8/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m50s\u001b[0m 28ms/step - accuracy: 0.9725 - loss: 0.0862 - val_accuracy: 0.9802 - val_loss: 0.1022\n","Epoch 9/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m50s\u001b[0m 28ms/step - accuracy: 0.9737 - loss: 0.0857 - val_accuracy: 0.9788 - val_loss: 0.1292\n","Epoch 10/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m51s\u001b[0m 28ms/step - accuracy: 0.9766 - loss: 0.0735 - val_accuracy: 0.9775 - val_loss: 0.1215\n","Epoch 11/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m50s\u001b[0m 28ms/step - accuracy: 0.9801 - loss: 0.0630 - val_accuracy: 0.9800 - val_loss: 0.0971\n","Epoch 12/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m53s\u001b[0m 29ms/step - accuracy: 0.9825 - loss: 0.0562 - val_accuracy: 0.9815 - val_loss: 0.0951\n","Epoch 13/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m50s\u001b[0m 28ms/step - accuracy: 0.9812 - loss: 0.0586 - val_accuracy: 0.9828 - val_loss: 0.0850\n","Epoch 14/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m52s\u001b[0m 29ms/step - accuracy: 0.9841 - loss: 0.0528 - val_accuracy: 0.9803 - val_loss: 0.0995\n","Epoch 15/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m51s\u001b[0m 28ms/step - accuracy: 0.9811 - loss: 0.0601 - val_accuracy: 0.9785 - val_loss: 0.1273\n","Epoch 16/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m51s\u001b[0m 28ms/step - accuracy: 0.9815 - loss: 0.0582 - val_accuracy: 0.9827 - val_loss: 0.0849\n","Epoch 17/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m50s\u001b[0m 28ms/step - accuracy: 0.9858 - loss: 0.0445 - val_accuracy: 0.9820 - val_loss: 0.0948\n","Epoch 18/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m51s\u001b[0m 28ms/step - accuracy: 0.9871 - loss: 0.0420 - val_accuracy: 0.9853 - val_loss: 0.0827\n","Epoch 19/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m52s\u001b[0m 29ms/step - accuracy: 0.9845 - loss: 0.0469 - val_accuracy: 0.9823 - val_loss: 0.1372\n","Epoch 20/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m51s\u001b[0m 28ms/step - accuracy: 0.9861 - loss: 0.0484 - val_accuracy: 0.9828 - val_loss: 0.0855\n","Epoch 21/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m53s\u001b[0m 29ms/step - accuracy: 0.9872 - loss: 0.0411 - val_accuracy: 0.9812 - val_loss: 0.1432\n","Epoch 22/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m53s\u001b[0m 29ms/step - accuracy: 0.9860 - loss: 0.0446 - val_accuracy: 0.9825 - val_loss: 0.1337\n","Epoch 23/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m55s\u001b[0m 30ms/step - accuracy: 0.9819 - loss: 0.0590 - val_accuracy: 0.9808 - val_loss: 0.1060\n","Epoch 24/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m51s\u001b[0m 28ms/step - accuracy: 0.9888 - loss: 0.0329 - val_accuracy: 0.9842 - val_loss: 0.1373\n","Epoch 25/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m53s\u001b[0m 29ms/step - accuracy: 0.9911 - loss: 0.0269 - val_accuracy: 0.9865 - val_loss: 0.1206\n","Epoch 26/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m53s\u001b[0m 29ms/step - accuracy: 0.9849 - loss: 0.0521 - val_accuracy: 0.9818 - val_loss: 0.0742\n","Epoch 27/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m53s\u001b[0m 30ms/step - accuracy: 0.9892 - loss: 0.0334 - val_accuracy: 0.9817 - val_loss: 0.1388\n","Epoch 28/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m54s\u001b[0m 30ms/step - accuracy: 0.9876 - loss: 0.0411 - val_accuracy: 0.9803 - val_loss: 0.1587\n","Epoch 29/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m56s\u001b[0m 31ms/step - accuracy: 0.9859 - loss: 0.0512 - val_accuracy: 0.9850 - val_loss: 0.0917\n","Epoch 30/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m51s\u001b[0m 28ms/step - accuracy: 0.9906 - loss: 0.0317 - val_accuracy: 0.9785 - val_loss: 0.1281\n","Epoch 31/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m54s\u001b[0m 30ms/step - accuracy: 0.9864 - loss: 0.0472 - val_accuracy: 0.9843 - val_loss: 0.0891\n","Epoch 32/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m53s\u001b[0m 29ms/step - accuracy: 0.9888 - loss: 0.0381 - val_accuracy: 0.9822 - val_loss: 0.1099\n","Epoch 33/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m53s\u001b[0m 29ms/step - accuracy: 0.9894 - loss: 0.0332 - val_accuracy: 0.9800 - val_loss: 0.1453\n","Epoch 34/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m53s\u001b[0m 29ms/step - accuracy: 0.9903 - loss: 0.0348 - val_accuracy: 0.9827 - val_loss: 0.1100\n","Epoch 35/200\n","\u001b[1m1807/1807\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m55s\u001b[0m 30ms/step - accuracy: 0.9899 - loss: 0.0298 - val_accuracy: 0.9832 - val_loss: 0.1065\n","Final validation accuracy: 98.65%\n"]}],"source":["# Fine-tune the model\n","ft_history = ft_model.fit(\n","    x = X_train*255,\n","    y = y_train,\n","    batch_size = 16,\n","    epochs = 200,\n","    validation_data = (X_test*255, y_test),\n","    callbacks = [tfk.callbacks.EarlyStopping(monitor='val_accuracy', mode='max', patience=10, restore_best_weights=True)],\n","    verbose = 1\n",").history\n","\n","# Calculate and print the final validation accuracy\n","final_val_accuracy = round(max(ft_history['val_accuracy'])* 100, 2)\n","print(f'Final validation accuracy: {final_val_accuracy}%')\n","\n","# Save the trained model to a file with the accuracy included in the filename\n","model_filename = 'V2S_trainV2_batch16_'+str(final_val_accuracy)+'_160x160.keras'\n","ft_model.save(model_filename)\n","\n","# Delete the model to free up resources\n","del ft_model"]},{"cell_type":"markdown","source":["## 🔍 INFERENCE WITH TEST SET"],"metadata":{"id":"-FvVPtAKiYWw"}},{"cell_type":"code","execution_count":null,"metadata":{"id":"QQhjTas0fCEk","colab":{"base_uri":"https://localhost:8080/","height":532},"executionInfo":{"status":"ok","timestamp":1732288456084,"user_tz":-60,"elapsed":1080,"user":{"displayName":"Alessandro Ciotti","userId":"01193109251883175470"}},"outputId":"0a5c2568-6fff-484c-ca08-52525adb88d5"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1500x600 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}],"source":["# Create figure and subplots for loss and accuracy\n","fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(15, 6))\n","\n","# Plot categorical cross-entropy loss for both Transfer Learning and Fine Tuning stages\n","ax1.plot(ft_history['loss'], alpha=0.3, color='#408537', linestyle='--')\n","ax1.plot(ft_history['val_loss'], label='Fine Tuning', alpha=0.8, color='#408537')\n","ax1.set_title('Categorical Crossentropy')\n","ax1.legend(loc='upper left')\n","ax1.grid(alpha=0.3)\n","\n","# Plot accuracy for both Transfer Learning and Fine Tuning stages\n","ax2.plot(ft_history['accuracy'], alpha=0.3, color='#408537', linestyle='--')\n","ax2.plot(ft_history['val_accuracy'], label='Fine Tuning', alpha=0.8, color='#408537')\n","ax2.set_title('Accuracy')\n","ax2.grid(alpha=0.3)\n","\n","# Adjust layout to prevent overlap and display the plots\n","plt.tight_layout()\n","plt.show()"]},{"cell_type":"code","execution_count":null,"metadata":{"collapsed":true,"id":"YI-EcRI-fHR-","colab":{"base_uri":"https://localhost:8080/","height":1000},"executionInfo":{"status":"ok","timestamp":1732288498004,"user_tz":-60,"elapsed":29916,"user":{"displayName":"Alessandro Ciotti","userId":"01193109251883175470"}},"outputId":"f03a518f-dbd4-4599-ef24-e1e0e0f1593d"},"outputs":[{"output_type":"stream","name":"stdout","text":["Predictions Shape: (6000, 8)\n","Accuracy score over the test set: 0.9865\n","Precision score over the test set: 0.9865\n","Recall score over the test set: 0.9865\n","F1 score over the test set: 0.9865\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x800 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}],"source":["# Load the saved model\n","model = tfk.models.load_model(model_filename)\n","\n","# Predict labels for the entire test set\n","predictions = model.predict(X_test * 255, verbose=0)\n","\n","# Display the shape of the predictions\n","print(\"Predictions Shape:\", predictions.shape)\n","\n","# Convert predictions to class labels\n","pred_classes = np.argmax(predictions, axis=-1)\n","\n","# Extract ground truth classes\n","true_classes = np.argmax(y_test, axis=-1)\n","\n","# Calculate and display test set accuracy\n","accuracy = accuracy_score(true_classes, pred_classes)\n","print(f'Accuracy score over the test set: {round(accuracy, 4)}')\n","\n","# Calculate and display test set precision\n","precision = precision_score(true_classes, pred_classes, average='weighted')\n","print(f'Precision score over the test set: {round(precision, 4)}')\n","\n","# Calculate and display test set recall\n","recall = recall_score(true_classes, pred_classes, average='weighted')\n","print(f'Recall score over the test set: {round(recall, 4)}')\n","\n","# Calculate and display test set F1 score\n","f1 = f1_score(true_classes, pred_classes, average='weighted')\n","print(f'F1 score over the test set: {round(f1, 4)}')\n","\n","# Compute the confusion matrix\n","cm = confusion_matrix(true_classes, pred_classes)\n","\n","# Combine numbers and percentages into a single string for annotation\n","annot = np.array([f\"{num}\" for num in cm.flatten()]).reshape(cm.shape)\n","\n","# Plot the confusion matrix\n","plt.figure(figsize=(10, 8))\n","sns.heatmap(cm.T, annot=annot, fmt='', xticklabels=list(labels.values()), yticklabels=list(labels.values()), cmap='Blues')\n","plt.xlabel('True labels')\n","plt.ylabel('Predicted labels')\n","plt.show()"]},{"cell_type":"code","source":["import tensorflow as tf\n","import numpy as np\n","import matplotlib.pyplot as plt\n","\n","class SaliencyMapGenerator:\n","    def __init__(self, model, image_size=(96, 96), amplification_factor=5.0):\n","        \"\"\"\n","        Initialize the saliency map generator.\n","\n","        Args:\n","            model: TensorFlow model to analyze\n","            image_size: Tuple of (height, width) for input images\n","            amplification_factor: Float to scale the saliency map for better visibility\n","        \"\"\"\n","        self.model = model\n","        self.image_size = image_size\n","        self.amplification_factor = amplification_factor\n","\n","    def preprocess_image(self, image):\n","        \"\"\"\n","        Preprocess a single image for the model.\n","\n","        Args:\n","            image: Input image array\n","\n","        Returns:\n","            Preprocessed tensor ready for model input\n","        \"\"\"\n","        image = tf.convert_to_tensor(image)\n","        image = tf.image.resize(image, self.image_size)\n","        image = tf.cast(image, tf.float32) / 255.0\n","        return tf.expand_dims(image, axis=0)\n","\n","    def compute_saliency_map(self, image, class_idx):\n","        \"\"\"\n","        Compute saliency map for a given image and class index.\n","\n","        Args:\n","            image: Input image array\n","            class_idx: Target class index\n","\n","        Returns:\n","            Amplified and normalized saliency map array\n","        \"\"\"\n","        processed_image = self.preprocess_image(image)\n","\n","        with tf.GradientTape() as tape:\n","            tape.watch(processed_image)\n","            predictions = self.model(processed_image, training=False)\n","            class_score = predictions[:, class_idx]\n","\n","        # Compute gradients\n","        grads = tape.gradient(class_score, processed_image)\n","\n","        if grads is None:\n","            raise ValueError(\"Gradients could not be computed. Check model architecture and input.\")\n","\n","        # Take maximum across channels, normalize, and amplify\n","        saliency = tf.reduce_max(tf.abs(grads), axis=-1)\n","        saliency = saliency[0].numpy()\n","\n","        # Normalize and amplify saliency map\n","        saliency = (saliency - saliency.min()) / (saliency.max() - saliency.min() + 1e-10)\n","        saliency *= self.amplification_factor  # Amplify saliency for better visibility\n","        saliency = np.clip(saliency, 0, 1)  # Ensure values stay in [0, 1]\n","        return saliency\n","\n","    def plot_saliency(self, image, class_idx, title=None, alpha=0.4):\n","        \"\"\"\n","        Compute and plot saliency map overlaid on the original image.\n","\n","        Args:\n","            image: Input image array\n","            class_idx: Target class index\n","            title: Optional title for the plot\n","            alpha: Transparency for saliency overlay\n","        \"\"\"\n","        saliency = self.compute_saliency_map(image, class_idx)\n","\n","        # Create figure with two subplots\n","        fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 5))\n","\n","        # Plot original image\n","        ax1.imshow(np.clip(image, 0, 255).astype('uint8'))\n","        ax1.set_title('Original Image')\n","        ax1.axis('off')\n","\n","        # Plot amplified saliency map\n","        im = ax2.imshow(saliency, cmap='hot')\n","        ax2.set_title(title or f'Saliency Map (Class {class_idx})')\n","        ax2.axis('off')\n","\n","        # Add colorbar\n","        plt.colorbar(im, ax=ax2)\n","        plt.tight_layout()\n","        plt.show()\n","\n","def visualize_class_saliency(model, X_test, y_test, num_images_per_class=5, amplification_factor=5.0, seed=42):\n","    \"\"\"\n","    Visualize saliency maps for multiple images from each class.\n","\n","    Args:\n","        model: TensorFlow model\n","        X_test: Test images\n","        y_test: Test labels\n","        num_images_per_class: Number of images to visualize per class\n","        amplification_factor: Float to scale the saliency map for better visibility\n","        seed: Random seed for reproducibility\n","    \"\"\"\n","    np.random.seed(seed)\n","    generator = SaliencyMapGenerator(model, image_size=(96,96), amplification_factor=amplification_factor)\n","\n","    # Get unique classes\n","    unique_classes = np.unique(y_test)\n","\n","    for class_idx in unique_classes:\n","        print(f\"\\nGenerating saliency maps for class {class_idx}\")\n","\n","        # Get indices for current class\n","        class_indices = np.where(y_test == class_idx)[0]\n","\n","        if len(class_indices) < num_images_per_class:\n","            print(f\"Warning: Only {len(class_indices)} images available for class {class_idx}\")\n","            selected_indices = class_indices\n","        else:\n","            selected_indices = np.random.choice(class_indices, num_images_per_class, replace=False)\n","\n","        # Generate saliency maps\n","        for idx in selected_indices:\n","            image = X_test[idx]\n","            pred = model.predict(generator.preprocess_image(image*255), verbose=0)\n","            pred_class = np.argmax(pred)\n","\n","            title = f\"Class {class_idx} (Predicted: {pred_class})\"\n","            generator.plot_saliency(image, pred_class, title=title)\n","\n","\n","\n","def visualize_incorrect_predictions_saliency(model, X_test, y_test, amplification_factor=5.0, seed=42, max_images=10):\n","    \"\"\"\n","    Visualize saliency maps for images that were incorrectly classified.\n","\n","    Args:\n","        model: TensorFlow model\n","        X_test: Test images\n","        y_test: True test labels\n","        amplification_factor: Float to scale the saliency map for better visibility\n","        seed: Random seed for reproducibility\n","        max_images: Maximum number of incorrect predictions to visualize\n","    \"\"\"\n","    np.random.seed(seed)\n","    generator = SaliencyMapGenerator(model, image_size=(96,96), amplification_factor=amplification_factor)\n","\n","    incorrect_indices = []\n","    predictions = model.predict(X_test, verbose=0)\n","    predicted_classes = np.argmax(predictions, axis=1)\n","\n","    # Find incorrect predictions\n","    for idx, (true_label, predicted_label) in enumerate(zip(y_test, predicted_classes)):\n","        if true_label != predicted_label:\n","            incorrect_indices.append(idx)\n","\n","    print(f\"Found {len(incorrect_indices)} incorrect predictions.\")\n","\n","    if len(incorrect_indices) == 0:\n","        print(\"No incorrect predictions to visualize.\")\n","        return\n","\n","    # Limit the number of images visualized\n","    if len(incorrect_indices) > max_images:\n","        incorrect_indices = np.random.choice(incorrect_indices, max_images, replace=False)\n","\n","    # Generate saliency maps\n","    for idx in incorrect_indices:\n","        image = X_test[idx]\n","        true_label = y_test[idx]\n","        pred_class = predicted_classes[idx]\n","\n","        title = f\"True: {true_label}, Predicted: {pred_class}\"\n","        generator.plot_saliency(image, pred_class, title=title)"],"metadata":{"id":"raWrAJJcskdr"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["model = tf.keras.models.load_model(\"V2S_trainV2_batch16_98.65_160x160.keras\")\n","visualize_class_saliency(model, X_test*255, np.argmax(y_test,axis=-1))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"_ZXvSNI5sp6G","executionInfo":{"status":"ok","timestamp":1732293386549,"user_tz":-60,"elapsed":74700,"user":{"displayName":"Alessandro Ciotti","userId":"01193109251883175470"}},"outputId":"32b70542-33d8-478c-e668-8a7def491558"},"execution_count":null,"outputs":[]}],"metadata":{"colab":{"provenance":[],"gpuType":"A100"},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"name":"python"},"accelerator":"GPU"},"nbformat":4,"nbformat_minor":0}