Introduction

This chapter is about understanding what neural networks can do rather than the finer workings of deep learning. For this reason, we will not cover the mathematical concepts underlying deep learning algorithms but will describe the essential pieces that make up a deep learning system and the role of neural networks within that system. We will also look at examples where neural networks have been used to solve real-world problems using these algorithms.

At its core, this chapter challenges you to think about your problem as a mathematical representation of ideas. By the end of this chapter, you will be able to think about a problem as a collection of these representations and to recognize how these representations can be learned by deep learning algorithms.