Deep Learning and the Game of Go

Deep Learning and the Game of Go bridges the gap between AI technology and strategic gameplay. Designed for AI enthusiasts and Go players, it provides a structured approach to mastering neural networks and machine-learning techniques specific to Go. Through chapters like 'Toward Deep Learning' and 'AlphaGo Zero: Integrating Tree Search with Reinforcement Learning,' readers are guided from fundamental concepts to advanced AI strategies.

What You'll Learn

• Implement machine-learning techniques specific to Go.
• Utilize tree search methods to enhance gameplay.
• Design neural networks tailored for Go data analysis.
• Develop and deploy deep-learning bots on AWS.
• Understand reinforcement learning through practical examples.

Who This Book Is For

This book is intended for AI developers, data scientists, and Go players who aim to deepen their understanding of AI's application in strategic games. Prior experience in machine learning or programming is advantageous.

What You Need to Know First

Familiarity with basic programming and machine-learning concepts will benefit readers. Understanding of Go rules is helpful but not essential.

Why This Book

Unlike generic AI texts, this book focuses on the intersection of deep learning and strategic gameplay, offering a unique perspective through real-world applications and case studies in Go.

What's Inside

Authored by Max Pumperla and Kevin Ferguson, this 381-page edition published by Manning Publications Co. covers practical AI implementations, including code samples and deployment strategies.