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