封面
AI Crash Course
Why subscribe?
Contributors
About the author
About the reviewers
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
1 Welcome to the Robot World
Beginning the AI journey
Four different AI models
Where can learning AI take you?
Summary
2 Discover Your AI Toolkit
The GitHub page
Colaboratory
Summary
3 Python Fundamentals – Learn How to Code in Python
Displaying text
Variables and operations
Lists and arrays
if statements and conditions
for and while loops
Functions
Classes and objects
Summary
4 AI Foundation Techniques
What is Reinforcement Learning?
The five principles of Reinforcement Learning
Summary
5 Your First AI Model – Beware the Bandits!
The multi-armed bandit problem
The Thompson Sampling model
Summary
6 AI for Sales and Advertising – Sell like the Wolf of AI Street
Problem to solve
Building the environment inside a simulation
AI solution and intuition refresher
Implementation
Summary
7 Welcome to Q-Learning
The Maze
The whole Q-learning process
Summary
8 AI for Logistics – Robots in a Warehouse
Building the environment
Implementation
Summary
9 Going Pro with Artificial Brains – Deep Q-Learning
Predicting house prices
Deep learning theory
Deep Q-learning
Summary
10 AI for Autonomous Vehicles – Build a Self-Driving Car
Building the environment
AI solution refresher
Implementation
The demo
Summary
11 AI for Business – Minimize Costs with Deep Q-Learning
Problem to solve
Building the environment
AI solution
The demo
Recap – The general AI framework/Blueprint
Summary
12 Deep Convolutional Q-Learning
What are CNNs used for?
How do CNNs work?
Deep convolutional Q-learning
Summary
Chapter 13 AI for Games – Become the Master at Snake
Problem to solve
Building the environment
AI solution
Implementation
The demo
Summary
14 Recap and Conclusion
Recap – The general AI framework/blueprint
Exploring what's next for you in AI
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更新时间：2021-03-26 16:23:07
完结共87章
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