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 which our project will be operating: we’ll go over data formats, data sources, and exploring the constraints that our problem domain places on us. Get used to performing these tasks, since you’ll have to do them for any serious deep learning project!