About this book
Deep Learning and the Game of Go is intended to introduce modern machine learning by walking through a practical and fun example: building an AI that plays Go. By the end of chapter 3, you can make a working Go-playing program, although it will be laughably weak at that point. From there, each chapter introduces a new way to improve your bot’s AI; you can learn about the strengths and limitations of each technique by experimenting. It all culminates in the final chapters, where we show how AlphaGo and AlphaGo Zero integrate all the techniques into incredibly powerful AIs.
Who should read this book
This book is for software developers who want to start experimenting with machine learning, and who prefer a practical approach ...
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