Bone_Age_EfficientNetV2S.ipynb

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      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "EfficientNetV2S-based Regression Model\n",
        "\n",
        "Refrence Paper:\n",
        "https://www.mdpi.com/2075-1729/14/6/774"
      ],
      "metadata": {
        "id": "7NCUo2_XUXVh"
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        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import tensorflow as tf\n",
        "import matplotlib.pyplot as plt\n",
        "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n",
        "from tensorflow.keras.models import Model\n",
        "from tensorflow.keras.layers import GlobalAveragePooling2D, Dense\n",
        "from tensorflow.keras.optimizers import Adam\n",
        "from tensorflow.keras.applications import EfficientNetV2S"
      ],
      "metadata": {
        "id": "gauY0VwhUfR6"
      },
      "execution_count": 2,
      "outputs": []
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    {
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      "source": [
        "# Load the labels\n",
        "labels_path = '/content/drive/MyDrive/Digital_Hand_Atlas_Dataset/Total_Images/Bordered_XRay_Images/Label.csv'\n",
        "labels = pd.read_csv(labels_path)"
      ],
      "metadata": {
        "id": "5IiVSDjfUg-B"
      },
      "execution_count": 3,
      "outputs": []
    },
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      "source": [
        "labels['Case ID'] = labels['Case ID'].apply(lambda x: str(x)+'.jpg')\n",
        "\n",
        "labels.head()"
      ],
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        "outputId": "d135a447-7a48-439f-e772-424c261bca3f"
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      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  Case ID  Bone Age   Male Location\n",
              "0   1.jpg         0  False    Asian\n",
              "1   2.jpg         0  False    Asian\n",
              "2   3.jpg         0  False    Asian\n",
              "3   4.jpg         0  False    Asian\n",
              "4   5.jpg         0  False    Asian"
            ],
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              "      <td>3.jpg</td>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "labels",
              "summary": "{\n  \"name\": \"labels\",\n  \"rows\": 7393,\n  \"fields\": [\n    {\n      \"column\": \"Case ID\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 7393,\n        \"samples\": [\n          \"7270.jpg\",\n          \"6771.jpg\",\n          \"1540.jpg\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Bone Age\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5,\n        \"min\": 0,\n        \"max\": 18,\n        \"num_unique_values\": 19,\n        \"samples\": [\n          0,\n          5,\n          11\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Male\",\n      \"properties\": {\n        \"dtype\": \"boolean\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          true,\n          false\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Location\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"African American\",\n          \"Hispanic American\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Ensure the 'Case ID' column is of type string\n",
        "labels['Case ID'] = labels['Case ID'].astype(str)"
      ],
      "metadata": {
        "id": "z6tFi8v8Uk-T"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Create the image data generator\n",
        "datagen = ImageDataGenerator(rescale=1./255, validation_split=0.2)"
      ],
      "metadata": {
        "id": "bGKhiXu5UmpL"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Create the train and validation generators\n",
        "train_generator = datagen.flow_from_dataframe(\n",
        "    dataframe=labels,\n",
        "    directory='/content/drive/MyDrive/Digital_Hand_Atlas_Dataset/Total_Images/Bordered_XRay_Images',\n",
        "    x_col='Case ID',\n",
        "    y_col='Bone Age',\n",
        "    target_size=(260, 260),  # EfficientNetV2S expects input size of 260x260\n",
        "    color_mode='rgb',  # EfficientNetV2S expects 3 channels\n",
        "    class_mode='raw',\n",
        "    batch_size=32,\n",
        "    subset='training'\n",
        ")\n",
        "\n",
        "validation_generator = datagen.flow_from_dataframe(\n",
        "    dataframe=labels,\n",
        "    directory='/content/drive/MyDrive/Digital_Hand_Atlas_Dataset/Total_Images/Bordered_XRay_Images',\n",
        "    x_col='Case ID',\n",
        "    y_col='Bone Age',\n",
        "    target_size=(260, 260),\n",
        "    color_mode='rgb',\n",
        "    class_mode='raw',\n",
        "    batch_size=32,\n",
        "    subset='validation'\n",
        ")"
      ],
      "metadata": {
        "id": "CIdQtUozUols",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "4d5e98de-5609-40b3-fa83-92845ce28e2b"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Found 5915 validated image filenames.\n",
            "Found 1478 validated image filenames.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Load the EfficientNetV2S model pre-trained on ImageNet\n",
        "base_model = EfficientNetV2S(weights='imagenet', include_top=False, input_shape=(260, 260, 3))"
      ],
      "metadata": {
        "id": "Q1xRw5IPUr5X",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "53355796-49eb-4837-fbeb-b3a3cc027e35"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/efficientnet_v2/efficientnetv2-s_notop.h5\n",
            "\u001b[1m82420632/82420632\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 0us/step\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Freeze the layers of the base model\n",
        "for layer in base_model.layers:\n",
        "    layer.trainable = False"
      ],
      "metadata": {
        "id": "LGieQcS_UtbQ"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Add custom layers on top of the base model\n",
        "x = base_model.output\n",
        "x = GlobalAveragePooling2D()(x)\n",
        "x = Dense(1024, activation='relu')(x)\n",
        "predictions = Dense(1, activation='linear')(x)  # Linear activation for regression"
      ],
      "metadata": {
        "id": "GtB1qeNJUu-f"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Create the final model\n",
        "model = Model(inputs=base_model.input, outputs=predictions)"
      ],
      "metadata": {
        "id": "UiCtqgYiUw35"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Compile the model\n",
        "model.compile(optimizer=Adam(), loss='mean_squared_error', metrics=['mae', 'accuracy'])"
      ],
      "metadata": {
        "id": "AR9e4I-2UydX"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Train the model\n",
        "history = model.fit(\n",
        "    train_generator,\n",
        "    steps_per_epoch=train_generator.samples // 32,\n",
        "    validation_data=validation_generator,\n",
        "    validation_steps=validation_generator.samples // 32,\n",
        "    epochs=10\n",
        ")"
      ],
      "metadata": {
        "id": "B_yoKruKU0X_",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9b9b8392-3654-4407-aad8-c0af4b604098"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/10\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/keras/src/trainers/data_adapters/py_dataset_adapter.py:121: UserWarning: Your `PyDataset` class should call `super().__init__(**kwargs)` in its constructor. `**kwargs` can include `workers`, `use_multiprocessing`, `max_queue_size`. Do not pass these arguments to `fit()`, as they will be ignored.\n",
            "  self._warn_if_super_not_called()\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2391s\u001b[0m 12s/step - accuracy: 0.0528 - loss: 26.3501 - mae: 4.0358 - val_accuracy: 0.0679 - val_loss: 7.1856 - val_mae: 2.2101\n",
            "Epoch 2/10\n",
            "\u001b[1m  1/184\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m24s\u001b[0m 133ms/step - accuracy: 0.0938 - loss: 6.0463 - mae: 1.8947"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/lib/python3.10/contextlib.py:153: UserWarning: Your input ran out of data; interrupting training. Make sure that your dataset or generator can generate at least `steps_per_epoch * epochs` batches. You may need to use the `.repeat()` function when building your dataset.\n",
            "  self.gen.throw(typ, value, traceback)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 51ms/step - accuracy: 0.0938 - loss: 6.0463 - mae: 1.8947 - val_accuracy: 0.0000e+00 - val_loss: 7.9205 - val_mae: 2.2208\n",
            "Epoch 3/10\n",
            "\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m246s\u001b[0m 1s/step - accuracy: 0.0570 - loss: 9.0805 - mae: 2.3178 - val_accuracy: 0.0679 - val_loss: 5.8645 - val_mae: 1.8321\n",
            "Epoch 4/10\n",
            "\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m34s\u001b[0m 187ms/step - accuracy: 0.0312 - loss: 5.9198 - mae: 2.0423 - val_accuracy: 0.0000e+00 - val_loss: 2.9940 - val_mae: 1.6108\n",
            "Epoch 5/10\n",
            "\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m231s\u001b[0m 1s/step - accuracy: 0.0524 - loss: 7.5012 - mae: 2.0882 - val_accuracy: 0.0679 - val_loss: 7.1624 - val_mae: 2.2617\n",
            "Epoch 6/10\n",
            "\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 329us/step - accuracy: 0.0312 - loss: 6.5505 - mae: 2.1504 - val_accuracy: 0.0000e+00 - val_loss: 11.0838 - val_mae: 3.0175\n",
            "Epoch 7/10\n",
            "\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m265s\u001b[0m 1s/step - accuracy: 0.0554 - loss: 7.4144 - mae: 2.0624 - val_accuracy: 0.0673 - val_loss: 5.4201 - val_mae: 1.7278\n",
            "Epoch 8/10\n",
            "\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m36s\u001b[0m 194ms/step - accuracy: 0.0625 - loss: 4.5582 - mae: 1.4272 - val_accuracy: 0.1667 - val_loss: 2.4642 - val_mae: 1.4075\n",
            "Epoch 9/10\n",
            "\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m278s\u001b[0m 1s/step - accuracy: 0.0572 - loss: 7.1139 - mae: 2.0221 - val_accuracy: 0.0720 - val_loss: 6.5958 - val_mae: 2.0967\n",
            "Epoch 10/10\n",
            "\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m38s\u001b[0m 209ms/step - accuracy: 0.0312 - loss: 5.3068 - mae: 1.8254 - val_accuracy: 0.0000e+00 - val_loss: 6.8401 - val_mae: 2.0562\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot training & validation MAE values\n",
        "plt.figure(figsize=(18, 4))\n",
        "\n",
        "plt.subplot(1, 3, 1)\n",
        "plt.plot(history.history['mae'])\n",
        "plt.plot(history.history['val_mae'])\n",
        "plt.title('Model MAE')\n",
        "plt.ylabel('MAE')\n",
        "plt.xlabel('Epoch')\n",
        "plt.legend(['Train', 'Validation'], loc='upper left')\n",
        "\n",
        "# Plot training & validation loss values\n",
        "plt.subplot(1, 3, 2)\n",
        "plt.plot(history.history['loss'])\n",
        "plt.plot(history.history['val_loss'])\n",
        "plt.title('Model Loss')\n",
        "plt.ylabel('Loss')\n",
        "plt.xlabel('Epoch')\n",
        "plt.legend(['Train', 'Validation'], loc='upper left')\n",
        "\n",
        "# Plot training & validation accuracy values\n",
        "plt.subplot(1, 3, 3)\n",
        "plt.plot(history.history['accuracy'])\n",
        "plt.plot(history.history['val_accuracy'])\n",
        "plt.title('Model Accuracy')\n",
        "plt.ylabel('Accuracy')\n",
        "plt.xlabel('Epoch')\n",
        "plt.legend(['Train', 'Validation'], loc='upper left')\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "DX4THQWuU13V",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 360
        },
        "outputId": "d8c4a44e-0b28-4208-ffb9-01c9351f3079"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1800x400 with 3 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Train the model\n",
        "history = model.fit(\n",
        "    train_generator,\n",
        "    steps_per_epoch=train_generator.samples // 32,\n",
        "    validation_data=validation_generator,\n",
        "    validation_steps=validation_generator.samples // 32,\n",
        "    epochs=18\n",
        ")"
      ],
      "metadata": {
        "id": "n84BkYoZU4dh",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "3c0c6b78-73bf-4af0-e601-1e66151b048c"
      },
      "execution_count": null,
      "outputs": [
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Epoch 1/18\n"
          ]
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/keras/src/trainers/data_adapters/py_dataset_adapter.py:121: UserWarning: Your `PyDataset` class should call `super().__init__(**kwargs)` in its constructor. `**kwargs` can include `workers`, `use_multiprocessing`, `max_queue_size`. Do not pass these arguments to `fit()`, as they will be ignored.\n",
            "  self._warn_if_super_not_called()\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6031s\u001b[0m 31s/step - accuracy: 0.0534 - loss: 24.6922 - mae: 3.9705 - val_accuracy: 0.0679 - val_loss: 6.5419 - val_mae: 2.0410\n",
            "Epoch 2/18\n",
            "\u001b[1m  1/184\u001b[0m \u001b[37m━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[1m22s\u001b[0m 123ms/step - accuracy: 0.0625 - loss: 9.2943 - mae: 2.3942"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/lib/python3.10/contextlib.py:153: UserWarning: Your input ran out of data; interrupting training. Make sure that your dataset or generator can generate at least `steps_per_epoch * epochs` batches. You may need to use the `.repeat()` function when building your dataset.\n",
            "  self.gen.throw(typ, value, traceback)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m32s\u001b[0m 172ms/step - accuracy: 0.0625 - loss: 9.2943 - mae: 2.3942 - val_accuracy: 0.0000e+00 - val_loss: 8.1585 - val_mae: 1.9943\n",
            "Epoch 3/18\n",
            "\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m284s\u001b[0m 1s/step - accuracy: 0.0502 - loss: 9.2540 - mae: 2.3432 - val_accuracy: 0.0686 - val_loss: 5.5324 - val_mae: 1.8085\n",
            "Epoch 4/18\n",
            "\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m35s\u001b[0m 189ms/step - accuracy: 0.0312 - loss: 4.4254 - mae: 1.6295 - val_accuracy: 0.0000e+00 - val_loss: 2.0959 - val_mae: 1.3477\n",
            "Epoch 5/18\n",
            "\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m282s\u001b[0m 1s/step - accuracy: 0.0534 - loss: 7.4581 - mae: 2.0767 - val_accuracy: 0.0673 - val_loss: 6.0307 - val_mae: 1.9996\n",
            "Epoch 6/18\n",
            "\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m35s\u001b[0m 190ms/step - accuracy: 0.0312 - loss: 6.7500 - mae: 2.1274 - val_accuracy: 0.1667 - val_loss: 3.1170 - val_mae: 1.3997\n",
            "Epoch 7/18\n",
            "\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m281s\u001b[0m 1s/step - accuracy: 0.0563 - loss: 6.9097 - mae: 2.0007 - val_accuracy: 0.0679 - val_loss: 5.9455 - val_mae: 1.9704\n",
            "Epoch 8/18\n",
            "\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 369us/step - accuracy: 0.0625 - loss: 11.9595 - mae: 2.8660 - val_accuracy: 0.0000e+00 - val_loss: 10.9084 - val_mae: 3.0718\n",
            "Epoch 9/18\n",
            "\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m238s\u001b[0m 1s/step - accuracy: 0.0518 - loss: 6.8615 - mae: 1.9828 - val_accuracy: 0.0679 - val_loss: 5.1837 - val_mae: 1.7971\n",
            "Epoch 10/18\n",
            "\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 366us/step - accuracy: 0.0938 - loss: 5.6342 - mae: 1.8008 - val_accuracy: 0.0000e+00 - val_loss: 8.4533 - val_mae: 2.2087\n",
            "Epoch 11/18\n",
            "\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m240s\u001b[0m 1s/step - accuracy: 0.0594 - loss: 7.0163 - mae: 1.9829 - val_accuracy: 0.0761 - val_loss: 5.3361 - val_mae: 1.8105\n",
            "Epoch 12/18\n",
            "\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 839us/step - accuracy: 0.0000e+00 - loss: 5.6570 - mae: 1.7992 - val_accuracy: 0.0000e+00 - val_loss: 4.3891 - val_mae: 1.5939\n",
            "Epoch 13/18\n",
            "\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m271s\u001b[0m 1s/step - accuracy: 0.0573 - loss: 6.3828 - mae: 1.9091 - val_accuracy: 0.0781 - val_loss: 5.2334 - val_mae: 1.6919\n",
            "Epoch 14/18\n",
            "\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m24s\u001b[0m 132ms/step - accuracy: 0.0625 - loss: 7.0490 - mae: 2.1375 - val_accuracy: 0.1667 - val_loss: 8.7823 - val_mae: 2.4260\n",
            "Epoch 15/18\n",
            "\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m253s\u001b[0m 1s/step - accuracy: 0.0613 - loss: 6.3873 - mae: 1.9167 - val_accuracy: 0.0679 - val_loss: 5.7364 - val_mae: 1.9663\n",
            "Epoch 16/18\n",
            "\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 1ms/step - accuracy: 0.0625 - loss: 7.1627 - mae: 1.9543 - val_accuracy: 0.0000e+00 - val_loss: 1.8287 - val_mae: 1.2081\n",
            "Epoch 17/18\n",
            "\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m249s\u001b[0m 1s/step - accuracy: 0.0529 - loss: 6.4421 - mae: 1.9447 - val_accuracy: 0.0815 - val_loss: 4.9856 - val_mae: 1.6715\n",
            "Epoch 18/18\n",
            "\u001b[1m184/184\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m33s\u001b[0m 181ms/step - accuracy: 0.0000e+00 - loss: 5.3965 - mae: 1.7685 - val_accuracy: 0.1667 - val_loss: 4.0149 - val_mae: 1.4194\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot training & validation MAE values\n",
        "plt.figure(figsize=(18, 4))\n",
        "\n",
        "plt.subplot(1, 3, 1)\n",
        "plt.plot(history.history['mae'])\n",
        "plt.plot(history.history['val_mae'])\n",
        "plt.title('Model MAE')\n",
        "plt.ylabel('MAE')\n",
        "plt.xlabel('Epoch')\n",
        "plt.legend(['Train', 'Validation'], loc='upper left')\n",
        "\n",
        "# Plot training & validation loss values\n",
        "plt.subplot(1, 3, 2)\n",
        "plt.plot(history.history['loss'])\n",
        "plt.plot(history.history['val_loss'])\n",
        "plt.title('Model Loss')\n",
        "plt.ylabel('Loss')\n",
        "plt.xlabel('Epoch')\n",
        "plt.legend(['Train', 'Validation'], loc='upper left')\n",
        "\n",
        "# Plot training & validation accuracy values\n",
        "plt.subplot(1, 3, 3)\n",
        "plt.plot(history.history['accuracy'])\n",
        "plt.plot(history.history['val_accuracy'])\n",
        "plt.title('Model Accuracy')\n",
        "plt.ylabel('Accuracy')\n",
        "plt.xlabel('Epoch')\n",
        "plt.legend(['Train', 'Validation'], loc='upper left')\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "YiOCO7wXU6RK",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 361
        },
        "outputId": "e560be9a-2569-422d-8918-ea97f57eb8a0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1800x400 with 3 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}