Deep Learning and the Game of Go (Max Pumperla, et al)

 
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Deep Learning and the Game of Go (Max Pumperla, et al)

Go (Weiqi), an ancient strategy game is a fantastic case study for AI. The world of Go was surprised in 2016 when a deep learning-based system defeated the world champion.

The improved AlphaGo Zero soon defeated the first bot by employing deep reinforcement learning to learn how to play the game. By creating your own Go bot, you can now study the same deep-learning techniques!

By creating a Go-playing AI, this book shows you how to use deep learning to solve tough reasoning problems. You will first be introduced to the fundamentals of the machine and deep learning before using Python to create a bot and teaching it how to play the game.

By instructing you on how to create a Go-winning bot, it introduces deep learning. You'll use more sophisticated training methods as you advance, utilizing the Python deep learning library Keras. While seeing your bot become a Go master, you'll learn how to use your new deep-learning abilities in a variety of other situations.

Ebook Details

About the Authors
  • Max Pumperla works for the artificial intelligence business skymind.ai as a Data Scientist and Engineer with a focus on Deep Learning. He is one of the co-founders of the aetros.com platform for deep learning.
  • Kevin Ferguson works as a data scientist for Honor and has previously worked for Google and Meebo.
Published
Published Date / Year
1 edition (January 25, 2019)
Permission
Free to read entire book online by the publisher (Manning), limited time every day
Hardcover
384 pages
eBook Format
HTML
Language
English
ISBN-10
1617295329
ISBN-13
978-1617295324

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