In Chapter 1, we saw an introduction to the deep learning field, to the theories that are the basis of the field. We also discussed the evolution of deep learning and the needed mathematical notation to succeed while reading the book, and we showed you how to install the environment needed for the projects in this book.
In this chapter, we will start with the “flavors” of deep learning, the approaches of it, and different types of neural networks. Next, we will introduce the big picture of the deep learning pipeline; we also will ...
