Built a neural network from scratch in without using any standard libraries like tensorflow and keras for image classification Implemented a 2D convolution framework(both forward and backward propagation) with activation(ReLU) and Softmax Used a 3D CNN Sequential model(built in TensorFlow and Keras)for validating the 2D model predictions on CIFAR-10 dataset Demonstrated 80% accuracy on the multi class classification problem with a single Convolution layer and max pool layer
-
Notifications
You must be signed in to change notification settings - Fork 0
Built a neural network from scratch in without using any standard libraries like tensorflow and keras for image classification Implemented a 2D convolution framework(both forward and backward propagation) with activation(ReLU) and Softmax Used a 3D CNN Sequential model(built in TensorFlow and Keras)for validating the 2D model predictions on CIFA…
uday147/convolutionNN_from_scrach
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Built a neural network from scratch in without using any standard libraries like tensorflow and keras for image classification Implemented a 2D convolution framework(both forward and backward propagation) with activation(ReLU) and Softmax Used a 3D CNN Sequential model(built in TensorFlow and Keras)for validating the 2D model predictions on CIFA…
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published