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

Deep Convolutional Q-Learning

Now that you understand how Artificial Neural Networks (ANNs) work, you're ready to tackle an incredibly useful tool, mostly used when dealing with images—Convolutional Neural Networks (CNNs). To put it simply, CNNs allow your AI to see images in real time as if it had eyes.

We will tackle them in the following steps:

  1. What are CNNs used for?
  2. How do CNNs work?
  3. Convolution
  4. Max pooling
  5. Flattening
  6. Full connection

Once you've understood those steps, you'll understand CNNs, and how they can be used in deep convolutional Q-learning.