Download Link: https://pytorch.org/deep-learning-with-pytorch
"Deep Learning with PyTorch" is organized into three parts.
Part 1: Covers deep learning fundamentals, introduces PyTorch, explore Tensors as PyTorch building blocks, Gradient Descent, Training a neural net, CNN.
Part 2: In part 2, we will do a project: Automatic Detection of Lung Cancer using knowledge gained in Part 1.
Part 3: Provides an overview of how to deploy PyTorch models to a simple web service, embed them in a C++ program, or bring them to mobile phones.