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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

The demo

Given the different files we have, make sure to understand that there are four possible ways to run the program:

  1. Without dropout and without early stopping
  2. Without dropout and with early stopping
  3. With dropout and without early stopping
  4. With dropout and with early stopping

Then, for each of these four combinations, the way to run this is the same: we first execute the training file, and then the testing file. In this demo section, we'll execute the 4th option, with both dropout and early stopping.

Now how do we run this? We have two options: with or without Google Colab.

I'll explain how to do it on Google Colab, and I'll even give you a Google Colab file where you only have to hit the play button. For those of you who want to execute this without Colab, on your favorite Python IDE, or through the terminal, let me explain how it's done. It's easy; you just need to download the main repository from GitHub, then...

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