Book Image

AI Crash Course

By : Hadelin de Ponteves
5 (4)
Book Image

AI Crash Course

5 (4)
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

Building the environment

Before we define the states, actions, and rewards, we need to set up the server and explain how it operates. We'll do that in several steps:

  1. First, we'll list all the environment parameters and variables by which the server is controlled.
  2. After that we'll set the essential assumptions of the problem, on which your AI will rely to provide a solution.
  3. Then we'll specify how you'll simulate the whole process.
  4. Finally, we'll explain the overall functioning of the server, and how the AI plays its role.

Parameters and variables of the server environment

Here is a list of all the parameters, which keep their values fixed, of the server environment:

  1. The average atmospheric temperature for each month.
  2. The optimal temperature range of the server, which we'll set as .
  3. The minimum temperature, below which the server fails to operate, which we'll set as .
  4. The maximum temperature...