Deep Learning and the Game of Go
Seiten
2019
Manning Publications (Verlag)
978-1-61729-532-4 (ISBN)
Manning Publications (Verlag)
978-1-61729-532-4 (ISBN)
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!
The ancient strategy game of Go is an incredible case study for AI. In 2016, a deep learning–based system shocked the Go world by defeating a world champion. Shortly after that, the upgraded AlphaGo Zero crushed the original bot by using deep reinforcement learning to master the game. Now, you can learn those same deep learning techniques by building your own Go bot!
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 introduces deep learning by teaching you to build a Go-winning bot. As you progress, you’ll apply increasingly complex training techniques and strategies using the Python deep learning library Keras.
You’ll enjoy watching your bot master the game of Go, and along the way, you’ll discover how to apply your new deep learning skills to a wide range of other scenarios!
You will
- Getting started with neural networks
- Building your Go AI
- Improving how your Go-bot plays and reacts
The ancient strategy game of Go is an incredible case study for AI. In 2016, a deep learning–based system shocked the Go world by defeating a world champion. Shortly after that, the upgraded AlphaGo Zero crushed the original bot by using deep reinforcement learning to master the game. Now, you can learn those same deep learning techniques by building your own Go bot!
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 introduces deep learning by teaching you to build a Go-winning bot. As you progress, you’ll apply increasingly complex training techniques and strategies using the Python deep learning library Keras.
You’ll enjoy watching your bot master the game of Go, and along the way, you’ll discover how to apply your new deep learning skills to a wide range of other scenarios!
You will
- Build and teach a self-improving game AI
- Enhance classical game AI systems with deep learning
- Implement neural networks for deep learning
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.
Using the game of Go as a way to teach machine learning is inspired and inspiring. Highly recommended!
Burk Hufnagel, Daugherty Business Solutions
| Erscheinungsdatum | 08.10.2018 |
|---|---|
| Verlagsort | New York |
| Sprache | englisch |
| Gewicht | 705 g |
| Einbandart | kartoniert |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Programmiersprachen / -werkzeuge ► Python | |
| Informatik ► Software Entwicklung ► Spieleprogrammierung | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | BOT • Deep learning • Go-Spiel • Keras • Python • Spieleprogrammierung |
| ISBN-10 | 1-61729-532-9 / 1617295329 |
| ISBN-13 | 978-1-61729-532-4 / 9781617295324 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
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