Deep Learning and the Game of Go

The book "Deep Learning and the Game of Go" teaches readers to build their own Go-playing machine using advanced AI techniques, such as deep learning and reinforcement learning. No deep learning experience is required, and the book even teaches you how to play Go!

\n Format: Paperback / softback
\n Length: 384 pages
\n Publication date: 06 June 2019
\n Publisher: Manning Publications
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The traditional programming approaches are insufficient for constructing a proficient Go-playing machine, let alone achieving victory. However, by harnessing advanced artificial intelligence techniques, particularly deep learning and reinforcement learning, users can impart knowledge to their Go-bot in the game's rules and strategies.

Deep Learning and the Game of Go offers an accessible entry point into the realm of deep learning and AI by guiding readers through the process of building their own Go-playing machine. Key Features:

Getting Started with Neural Networks: This book provides a comprehensive introduction to neural networks, covering essential concepts and their applications in deep learning.

Building Your Go AI: Step-by-step instructions are provided to help readers construct their own Go-playing AI, enabling them to understand the inner workings of the game and develop strategies for improving its performance.

Improving How Your Go-bot Plays and Reacts: The book offers insights into enhancing the playing and reacting capabilities of your Go-bot, enabling it to make informed decisions and adapt to different game situations.

Audience: This book is suitable for individuals with no prior deep learning experience. It assumes a high school-level understanding of math and basic Python skills. Additionally, the book includes a tutorial on how to play Go, making it an excellent resource for beginners and enthusiasts alike.

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, with prior experience at companies such as Google and Meebo. Together, Max and Kevin are co-authors of betago, one of the few open-source Go bots developed in Python.

By leveraging the power of deep learning and reinforcement learning, users can unlock the secrets of Go and develop a competitive Go-playing machine that can stand toe-to-toe with human experts. This book provides the necessary knowledge and tools to embark on this exciting journey and explore the vast possibilities of AI in the world of Go.

\n Weight: 730g\n
Dimension: 191 x 234 x 19 (mm)\n
ISBN-13: 9781617295324\n \n