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AI Crash Course

You're reading from   AI Crash Course A fun and hands-on introduction to machine learning, reinforcement learning, deep learning, and artificial intelligence with Python

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Product type Paperback
Published in Nov 2019
Publisher Packt
ISBN-13 9781838645359
Length 360 pages
Edition 1st Edition
Languages
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Author (1):
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Hadelin de Ponteves Hadelin de Ponteves
Author Profile Icon Hadelin de Ponteves
Hadelin de Ponteves
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Toc

Table of Contents (17) Chapters Close

Preface 1. Welcome to the Robot World FREE CHAPTER 2. Discover Your AI Toolkit 3. Python Fundamentals – Learn How to Code in Python 4. AI Foundation Techniques 5. Your First AI Model – Beware the Bandits! 6. AI for Sales and Advertising – Sell like the Wolf of AI Street 7. Welcome to Q-Learning 8. AI for Logistics – Robots in a Warehouse 9. Going Pro with Artificial Brains – Deep Q-Learning 10. AI for Autonomous Vehicles – Build a Self-Driving Car 11. AI for Business – Minimize Costs with Deep Q-Learning 12. Deep Convolutional Q-Learning 13. AI for Games – Become the Master at Snake 14. Recap and Conclusion 15. Other Books You May Enjoy 16. Index

Summary

In this last practical chapter of the book, we built a deep convolutional Q-Learning model for Snake. Before we built anything, we had to define what our AI would see. We established that we needed to stack multiple frames, so that our AI would see the continuity of its moves. This was the input to our Convolutional Neural Network. The outputs were the Q-values corresponding to each of the four possible moves: going up, going down, going left, and going right. We rewarded our AI for eating an apple, punished it for losing, and punished it slightly for performing any action (the living penalty). Having run 25,000 games, we can see that our AI is able to eat 10-11 apples per game.

I hope you enjoyed it!

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