Representing signals with numbers

In this chapter, we will see how we can layer sequences of neurons to progressively represent more and more complex patterns. We will also see how concepts such as regularization and batched learning are essential in getting the most out of a training session. We will learn to process different types of real-world data in the form of images, texts, and time-series dependent information.