Deep Learning with PyTorch

9 Using PyTorch to fight cancer

This chapter covers

• Breaking a large problem into smaller, easier ones
• Exploring the constraints of an intricate deep learning problem, and deciding on a structure and approach
• Downloading the training data

We have two main goals for this chapter. We’ll start by covering the overall plan for part 2 of the book so that we have a solid idea of the larger scope the following individual chapters will be building toward. In chapter 10, we will begin to build out the data-parsing and data-manipulation routines that will produce data to be consumed in chapter 11 while training our first model. In order to do what’s needed for those upcoming chapters well, we’ll also use this chapter to cover some of the context in ...