pytorch

Notebooks practicing with PyTorch

torch_testing.ipynb

• a simple notebook using torch.nn and torch.utils.data for FashionMNIST dataset
• DataLoading, creating model. optimizing model parameters, training, testing and evaluation steps included

Full Stack Deep Learning

pytorch.ipynb

• How to write a basic neural network from scratch in PyTorch
• How the submodules of torch, like torch.nn and torch.utils.data, make writing performant neural network training and inference code easier

lightning_LogisticRegression.ipynb

• The core components of a PyTorch Lightning training loop: LightningModules and Trainers.
• Useful quality-of-life improvements offered by PyTorch Lightning: LightningDataModules, Callbacks, and Metrics
• Example with Logistic Regression on MNIST dataset

lightning_cnn.ipynb

• Fundamental principles for building neural networks with convolutional components
• How to use PyTorch Lightning's training framework via a CLI