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Artificial Intelligence with Python - Second Edition
book

Artificial Intelligence with Python - Second Edition

by Alberto Artasanchez, Prateek Joshi
January 2020
Beginner to intermediate content levelBeginner to intermediate
618 pages
13h 57m
English
Packt Publishing
Content preview from Artificial Intelligence with Python - Second Edition

19

Neural Networks

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:

  • An introduction to neural networks
  • Building a Perceptron-based classifier
  • Constructing a single-layer neural ...
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Publisher Resources

ISBN: 9781839219535Supplemental Content