Book Image

AI Crash Course

By : Hadelin de Ponteves
5 (2)
Book Image

AI Crash Course

5 (2)
By: Hadelin de Ponteves

Overview of this book

Welcome to the Robot World … and start building intelligent software now! Through his best-selling video courses, Hadelin de Ponteves has taught hundreds of thousands of people to write AI software. Now, for the first time, his hands-on, energetic approach is available as a book. Starting with the basics before easing you into more complicated formulas and notation, AI Crash Course gives you everything you need to build AI systems with reinforcement learning and deep learning. Five full working projects put the ideas into action, showing step-by-step how to build intelligent software using the best and easiest tools for AI programming, including Python, TensorFlow, Keras, and PyTorch. AI Crash Course teaches everyone to build an AI to work in their applications. Once you've read this book, you're only limited by your imagination.
Table of Contents (17 chapters)
16
Index

Going Pro with Artificial Brains – Deep Q-Learning

This next AI model is fantastic, because it is the first AI model that is really inspired by human intelligence. I hope you're ready to go pro on the next exciting step in your AI journey; this book is not only a crash course on AI, but also an introduction to deep learning.

Today, some of the top AI models integrate deep learning. They form a new branch of AI called deep Reinforcement Learning. The model we'll cover in this chapter belongs to that branch, and is called deep Q-learning. You already know what Q-learning is all about, but you might not know anything about deep learning and Artificial Neural Networks (ANNs); we'll start with them. Of course, if you are an expert in deep learning, you can skip the first sections of this chapter, but consider that a little refresher never hurt anyone.

Before we start going through the theory, you'll begin with real, working code written in...