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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