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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

I have some good news and some bad news.

I'll start with the bad news: we can't run the map.py file with a simple plug and play on Google Colab. The reason for that is that Kivy is very tricky to install through Colab. So, we'll go for the classic method of running a Python file: through the terminal.

The good news is that once we install Kivy and PyTorch through the terminal, you'll have a fantastic demo!

Let's install everything we need to run our self-driving car. Here's what we have to install, in the following order:

  1. Anaconda: A free and open source distribution of Python that offers an easy way to install packages thanks to the conda command. This is what we'll use to install PyTorch and Kivy.
  2. Virtual environment with Python 3.6: Anaconda is installed with Python 3.7 or higher; however, that 3.7 version is not compatible with Kivy. We'll create a virtual environment in which we install Python...
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