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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

Summary

In this chapter, we covered what machine learning is and why it's so important. We talked about the main classes of machine learning techniques and some of the most popular classic ML algorithms. We also introduced a particular type of machine learning algorithm, called neural networks, which is at the basis for deep learning. Then, we looked at a coding example where we used a popular machine learning library to solve a particular classification problem. In the next chapter, we'll cover neural networks in more detail and explore their theoretical justifications.

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Publisher Resources

ISBN: 9781789348460Supplemental Content