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Deep Learning and the Game of Go
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Deep Learning and the Game of Go

Book Details

Format Paperback / Softback
ISBN-10 1617295329
ISBN-13 9781617295324
Publisher Manning Publications
Imprint Manning Publications
Country of Manufacture US
Country of Publication GB
Publication Date Jun 13th, 2019
Print length 384 Pages
Weight 730 grams
Dimensions 19.10 x 23.40 x 1.90 cms
Product Classification: Artificial intelligence
Ksh 9,550.00
Publisher Out of Stock 0 in stock

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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.

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.


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