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  • Book Overview & Buying AI Crash Course
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AI Crash Course

AI Crash Course

By : Hadelin de Ponteves
4 (24)
Buy this Book
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AI Crash Course

AI Crash Course

4 (24)
By: Hadelin de Ponteves
Buy this Book

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)
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Preface
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Preface
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Who this book is for
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What this book covers
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To get the most out of this book
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Get in touch
Lock Free Chapter
1
Welcome to the Robot World
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Welcome to the Robot World
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Beginning the AI journey
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Four different AI models
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Where can learning AI take you?
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Summary
2
Discover Your AI Toolkit
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Discover Your AI Toolkit
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The GitHub page
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Colaboratory
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Summary
3
Python Fundamentals – Learn How to Code in Python
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Python Fundamentals – Learn How to Code in Python
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Displaying text
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Variables and operations
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Lists and arrays
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if statements and conditions
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for and while loops
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Functions
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Classes and objects
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Summary
4
AI Foundation Techniques
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AI Foundation Techniques
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What is Reinforcement Learning?
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The five principles of Reinforcement Learning
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Summary
5
Your First AI Model – Beware the Bandits!
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Your First AI Model – Beware the Bandits!
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The multi-armed bandit problem
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The Thompson Sampling model
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Summary
6
AI for Sales and Advertising – Sell like the Wolf of AI Street
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AI for Sales and Advertising – Sell like the Wolf of AI Street
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Problem to solve
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Building the environment inside a simulation
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AI solution and intuition refresher
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Implementation
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Summary
7
Welcome to Q-Learning
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Welcome to Q-Learning
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The Maze
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The whole Q-learning process
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Summary
8
AI for Logistics – Robots in a Warehouse
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AI for Logistics – Robots in a Warehouse
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Building the environment
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Implementation
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Summary
9
Going Pro with Artificial Brains – Deep Q-Learning
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Going Pro with Artificial Brains – Deep Q-Learning
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Predicting house prices
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Deep learning theory
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Deep Q-learning
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Summary
10
AI for Autonomous Vehicles – Build a Self-Driving Car
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AI for Autonomous Vehicles – Build a Self-Driving Car
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Building the environment
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AI solution refresher
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Implementation
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The demo
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Summary
11
AI for Business – Minimize Costs with Deep Q-Learning
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AI for Business – Minimize Costs with Deep Q-Learning
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Problem to solve
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Building the environment
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AI solution
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The demo
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Recap – The general AI framework/Blueprint
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Summary
12
Deep Convolutional Q-Learning
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Deep Convolutional Q-Learning
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What are CNNs used for?
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How do CNNs work?
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Deep convolutional Q-learning
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Summary
13
AI for Games – Become the Master at Snake
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AI for Games – Become the Master at Snake
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Problem to solve
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Building the environment
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AI solution
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Implementation
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The demo
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Summary
14
Recap and Conclusion
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Recap and Conclusion
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Recap – The general AI framework/blueprint
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Exploring what's next for you in AI
15
Other Books You May Enjoy
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Other Books You May Enjoy
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Leave a review - let other readers know what you think
16
Index
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Index

The demo

Unfortunately, due to PyGame not being supported by Google Colab, you'll need to use Anaconda.

Thankfully, you should have it installed after Chapter 10, AI for Autonomous Vehicles – Build a Self-Driving Car, so it'll be easier to install the required packages and libraries.

Installation

First, create a new virtual environment inside Anaconda. This time, I'll walk you through the installation on the Anaconda Prompt from a PC, so that you can all see how it's done from any system.

Windows users, please open the Anaconda Prompt on your PC, and Mac/Linux users, please open your Terminal on Mac/Linux. Then type:

conda create -n snake python=3.6

Just like so:

Then, hit Enter on your keyboard. You should get something more or less like this:

Type y on your keyboard and hit Enter once again. After everything gets installed, type this in your Anaconda Prompt:

conda activate snake

And hit Enter once again...

CONTINUE READING
83
Tech Concepts
36
Programming languages
73
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AI Crash Course
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