Table of contents : PyTorch Cookbook Chapter 1: Introduction to PyTorch 2.0 Chapter 2: Deep Learning Building Blocks Chapter 3: Convolutional Neural Networks Chapter 4: Recurrent Neural Networks Chapter 5: Natural Language Processing Chapter 6: Graph Neural Networks (GNNs) Chapter 7: Working with Popular PyTorch Tools Chapter 8: Distributed Training and Scalability Chapter 9: Mobile and Embedded Deployment