Chapter 2. A Simple Neural Network

Learning the PyTorch way of building a neural network is really important. It is the most efficient and clean way of writing PyTorch code, and it also helps you to find tutorials and sample snippets easy to follow, since they have the same structure. More importantly, you'll end up with the efficient form of your code, which is also highly readable.

Don't worry, PyTorch is not trying to add another spike into your learning curve by implementing a brand-new methodology. If you know how to code in Python, you'll feel at home right away. However, we won't learn those building blocks as we did in the first chapter; in this chapter, we will build a simple network. Instead of choosing a typical entry-level neural network use case, we'll be teaching our network to do mathematics in the NumPy way. Then we'll convert that to a PyTorch network. By the end of this chapter, you will have the skills to become a PyTorch developer.