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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

AI for Games – Become the Master at Snake

This is the last practical chapter; congratulations on finishing the previous ones! I hope you really enjoyed them. Now, let's leave aside business problems and self-driving cars. Let's have some fun by playing a popular game called Snake and making an AI that teaches itself to play this game!

That's exactly what we'll do in this chapter. The model we'll implement is called deep convolutional Q-learning, using a Convolutional Neural Network (CNN).

Our AI won't be perfect, and it won't fill in the entire map, but after some training it will start playing at a level comparable with humans.

Let's start tackling this problem by looking at what the game looks like and what the target is.

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