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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

Atari Breakout


Breakout is a classic Atari game originally released in 1976. The player controls a paddle and must use it to bounce a ball into the colored blocks at the top of the screen. Points are scored whenever a block is hit. If the ball travels down past the paddle off the bottom of the screen, the player loses a life. The game ends either when the all the blocks have been destroyed or if the player loses all three lives that he starts with:

Figure 8: Atari Breakout

Think about how much harder learning a game like Breakout is compared to the cart pole task we just looked at. For cart pole, if a bad move is made that leads to the pole tipping over, we will normally receive feedback within a couple of moves. In Breakout, such feedback is much rarer. If we position our paddle wrong, that can be because of 20 or more moves that went into positioning.

Atari Breakout random benchmark

Before we go any further, let's create an agent that will play Breakout by selecting moves randomly. That way...

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