PyTorch Tutorial 01 - Installation PyTorch Tutorial 02 - Tensor Basics PyTorch Tutorial 03 - Gradient Calculation With Autograd PyTorch Tutorial 04 - Backpropagation - Theory With Example PyTorch Tutorial 05 - Gradient Descent with Autograd and Backpropagation PyTorch Tutorial 06 - Training Pipeline: Model, Loss, and Optimizer PyTorch Tutorial 07 - Linear Regression PyTorch Tutorial 08 - Logistic Regression PyTorch Tutorial 09 - Dataset and DataLoader - Batch Training PyTorch Tutorial 10 - Dataset Transforms PyTorch Tutorial 11 - Softmax and Cross Entropy PyTorch Tutorial 12 - Activation Functions PyTorch Tutorial 13 - Feed-Forward Neural Network PyTorch Tutorial 14 - Convolutional Neural Network (CNN) PyTorch Tutorial 15 - Transfer Learning PyTorch Tutorial 16 - How To Use The TensorBoard PyTorch Tutorial 17 - Saving and Loading Models Create & Deploy A Deep Learning App - PyTorch Model Deployment With Flask & Heroku PyTorch RNN Tutorial - Name Classification Using A Recurrent Neural Net PyTorch Tutorial - RNN & LSTM & GRU - Recurrent Neural Nets PyTorch Lightning Tutorial - Lightweight PyTorch Wrapper For ML Researchers PyTorch LR Scheduler - Adjust The Learning Rate For Better Results