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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
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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

Chapter 5. Image Recognition

Vision is arguably the most important human sense. We rely on our vision to recognize our food, to run away from danger, to recognize our friends and family, and to find our way in familiar surroundings. We rely on our vision, in fact, to read this book and to recognize each and every letter and symbol printed in it. However, image recognition has (and in many ways still is) for the longest time been one of the most difficult problems in computer science. It is very hard to teach a computer programmatically how to recognize different objects, because it is difficult to explain to a machine what features make up a specified object. In deep learning, however, as we have seen, the neural network learns by itself, that is, it learns what features make up each object, and it is therefore well suited for a task such as image recognition.

In this chapter we will cover the following topics:

  • Similarities between artificial and biological models
  • Intuition and justification...
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