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Python Deep Learning

You're reading from   Python Deep Learning Next generation techniques to revolutionize computer vision, AI, speech and data analysis

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781786464453
Length 406 pages
Edition 1st Edition
Languages
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Authors (4):
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Peter Roelants Peter Roelants
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Peter Roelants
Daniel Slater Daniel Slater
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Daniel Slater
Valentino Zocca Valentino Zocca
Author Profile Icon Valentino Zocca
Valentino Zocca
Gianmario Spacagna Gianmario Spacagna
Author Profile Icon Gianmario Spacagna
Gianmario Spacagna
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Toc

Table of Contents (12) Chapters Close

Preface 1. Machine Learning – An Introduction FREE CHAPTER 2. Neural Networks 3. Deep Learning Fundamentals 4. Unsupervised Feature Learning 5. Image Recognition 6. Recurrent Neural Networks and Language Models 7. Deep Learning for Board Games 8. Deep Learning for Computer Games 9. Anomaly Detection 10. Building a Production-Ready Intrusion Detection System Index

Summary

In this chapter, we have covered what machine learning is and why it is so important. We have provided several examples where machine learning techniques find applications and what kind of problems can be solved using machine learning. We have also introduced a particular type of machine learning algorithm, called neural networks, which is at the basis of deep learning, and have provided a coding example in which, using a popular machine learning library, we have solved a particular classification problem. In the next chapter, we will cover neural networks in better detail and will provide their theoretical justifications based on biological considerations drawn from observations of how our own brain works.

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Python Deep Learning
Published in: Apr 2017
Publisher: Packt
ISBN-13: 9781786464453
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