Deep Learning and the Game of Go by Kevin Ferguson

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.
Binding: Paperback / softback