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Python Deep Learning - Second Edition
book

Python Deep Learning - Second Edition

by Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca
January 2019
Intermediate to advanced
386 pages
11h 13m
English
Packt Publishing
Content preview from Python Deep Learning - Second Edition

An introduction to neural networks

We can describe a neural network as a mathematical model for information processing. As discussed in Chapter 1, Machine Learning – an Introduction, this is a good way to describe any ML algorithm, but, in this chapter, well give it a specific meaning in the context of neural networks. A neural net is not a fixed program, but rather a model, a system that processes information, or inputs. The characteristics of a neural network are as follows:

  • Information processing occurs in its simplest form, over simple elements called neurons.
  • Neurons are connected and they exchange signals between them through connection links.
  • Connection links between neurons can be stronger or weaker, and this determines how information ...
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Publisher Resources

ISBN: 9781789348460Supplemental Content