In this section, we will learn what the basic building blocks of a neural network are, and what the role of each block is, in order to successfully train a network. In this part, we will first briefly look at the theory of neural networks, before moving on to building and training neural networks with the PyTorch library.
This section comprises the following chapters:
- Chapter 1, Artificial Neural Network Fundamentals
- Chapter 2, PyTorch Fundamentals
- Chapter 3, Building a Deep Neural Network with PyTorch
