January 2020
Beginner to intermediate
618 pages
13h 57m
English
In this chapter, we are going to learn about neural networks. We will start with an introduction to neural networks and the installation of the relevant library. We will then discuss perceptrons and how to build a classifier based on them. After that, we'll go deeper and learn about single-layer neural networks and multi-layer neural networks.
Later, we will see how to use neural networks to build a vector quantizer. We will analyze sequential data using recurrent neural networks, and finally we will use neural networks to build an optical character recognition engine. By the end of this chapter, we will have covered: