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Designing Machine Learning Systems with Python

You're reading from   Designing Machine Learning Systems with Python Key design strategies to create intelligent systems

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Product type Paperback
Published in Apr 2016
Publisher
ISBN-13 9781785882951
Length 232 pages
Edition 1st Edition
Languages
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Author (1):
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David Julian David Julian
Author Profile Icon David Julian
David Julian
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Chapter 6. Neural Networks

Artificial neural networks, as the name suggests, are based algorithms that attempt to mimic the way neurons work in the brain. Conceptual work began in the 1940s, but it is only somewhat recently that a number of important insights, together with the availability of hardware to run these more computationally expensive models, have given neural networks practical application. They are now state-of-the-art techniques that are at the heart of many advanced machine learning applications.

In this chapter, we will introduce the following topics:

  • Logistic units
  • The cost function for neural networks
  • Implementing a neural network
  • Other neural network architectures
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