Deep Learning with PyTorch

What this book covers

Chapter 1, Getting Started with Deep Learning Using PyTorch, goes over the history of artificial intelligence (AI) and machine learning and looks at the recent growth of deep learning. We will also cover how various improvements in hardware and algorithms triggered huge success in the implementation of deep learning across different applications. Finally, we will introduce the beautiful PyTorch Python library, built on top of Torch by Facebook.

Chapter 2, Building Blocks of Neural Networks, discusses the knowledge of various building blocks of PyTorch, such as variables, tensors, and nn.module, and how they are used to develop neural networks.

Chapter 3, Diving Deep into Neural Networks, covers the different processes ...