Deep Learning and the Game of Go

Max Pumperla

ISBN 10: 1617295329 / ISBN 13: 9781617295324

Published by Simon & Schuster Distribution Clients Jan 2019, 2019

About this Item

Neuware - SummaryDeep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine and deep learning, you'll use Python to build a bot and then teach it the rules of the game.Foreword by Thore Graepel, DeepMindAbout the TechnologyThe ancient strategy game of Go is an incredible case study for AI. In 2016, a deep learning-based system shocked the Go world by defeating a world champion. Shortly after that, the upgraded AlphaGo Zero crushed the original bot by using deep reinforcement learning to master the game. Now, you can learn those same deep learning techniques by building your own Go bot!About the BookDeep Learning and the Game of Go introduces deep learning by teaching you to build a Go-winning bot. As you progress, you'll apply increasingly complex training techniques and strategies using the Python deep learning library Keras. You'll enjoy watching your bot master the game of Go, and along the way, you'll discover how to apply your new deep learning skills to a wide range of other scenarios!What's inside- Build and teach a self-improving game AI- Enhance classical game AI systems with deep learning- Implement neural networks for deep learningAbout the ReaderAll you need are basic Python skills and high school-level math. No deep learning experience required.About the AuthorMax Pumperla and Kevin Ferguson are experienced deep learning specialists skilled in distributed systems and data science. Together, Max and Kevin built the open source bot BetaGo.Table of ContentsPART 1 - FOUNDATIONS- Toward deep learning: a machine-learning introduction- Go as a machine-learning problem- Implementing your first Go botPART 2 - MACHINE LEARNING AND GAME AI- Playing games with tree search- Getting started with neural networks- Designing a neural network for Go data- Learning from data: a deep-learning bot- Deploying bots in the wild- Learning by practice: reinforcement learning- Reinforcement learning with policy gradients- Reinforcement learning with value methods- Reinforcement learning with actor-critic methodsPART 3 - GREATER THAN THE SUM OF ITS PARTS- AlphaGo: Bringing it all together- AlphaGo Zero: Integrating tree search with reinforcement learning.

Seller Inventory # 9781617295324

Bibliographic Details

• Title: Deep Learning and the Game of Go
• Publisher: Simon & Schuster Distribution Clients Jan 2019
• Publication Date: 2019
• Language: English
• ISBN 10: 1617295329
• ISBN 13: 9781617295324
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 233W x 184H x 22D millimeters 233 millimeters width by 184 millimeters height by 22 millimeters depth
• Weight: 646 grams

About this title

Synopsis

It's nearly impossible to build a competent Go-playing machine using conventional programming techniques, let alone have it win. By applying advanced AI techniques, in particular deep learning and reinforcement learning, users can train their Go-bot in the rules and tactics of the game.

 

Deep Learning and the Game of Go opens up the world of deep learning and AI by teaching readers to build their own Go-playing machine.

 

Key Features

·   Getting started with neural networks

·   Building your Go AI

·   Improving how your Go-bot plays and reacts

 

Audience

No deep learning experience required. All you need is high school level math and basic Python skills. This book even teaches you how to play Go!

 

Author Bio

Max Pumperla is a Data Scientist and Engineer specializing in Deep Learning at the artificial intelligence company skymind.ai. He is the cofounder of the Deep Learning platform aetros.com.

 

Kevin Ferguson has 18 years of experience in distributed systems and data science. He is a data scientist at Honor, and has experience at companies such as Google and

Meebo. Together, Max and Kevin are co-authors of betago, one of very few open source Go bots, developed in Python.

About the Author

Max Pumperla is a Data Scientist and Engineer specializing in Deep Learning at the artificial intelligence company skymind.ai. He is the cofounder of the Deep Learning platform aetros.com.

 

Kevin Ferguson has 18 years of experience in distributed systems and data science. He is a data scientist at Honor, and has experience at companies such as Google and

Meebo. Together, Max and Kevin are co-authors of betago, one of very few open source Go bots, developed in Python.