kjamithash/Pytorch_DeepLearning_Experiments

Experimenting with the concepts present in the book "Programming Pytorch for Deep Learning" by Ian Pointer, the notebooks in this repository use the FashionMNIST dataset to create deep learning networks in Pytorch

Creating and Deploying Deep Learning applications in PyTorch

Experimenting with the concepts present in the book "Programming Pytorch for Deep Learning" by Ian Pointer. I create the following models:

• Create a simple neural network to classify the Fashion MNSIT dataset.

  📒 Colab Notebook

• Create a convolution neural network to classify the Fashion MNSIT dataset.

  📒 Colab Notebook

• Experiment with transfer learning to improve the accuracy of the CNN model.

  📒 Colab Notebook

• Using Tensorboard to visualize a neural network with Pytorch

  📒 Colab Notebook