Deep Learning and the Game of Go
Год издания: 2019
Автор: Max Pumperla, Kevin Ferguson
Издательство: Manning
ISBN: 9781617295324
Язык: Английский
Формат: PDF/EPUB/MOBI
Качество: Издательский макет или текст (eBook)
Интерактивное оглавление: Да
Количество страниц: 384
Описание: Deep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine and deep learning, you'll use Python to build a bot and then teach it the rules of the game.
About the technology:
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!
About the book:
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!
Code:
GitHub
Оглавление
Part 1 Foundations
- 1. Toward deep learning: a machine-learning introduction
- 2. Go as a machine-learning problem
- 3. Implementing your first Go bot
Part 2 Machine learning and game AI
- 4. Playing games with tree search
- 5. Getting started with neural networks
- 6. Designing a neural network for Go data
- 7. Learning from data: a deep-learning bot
- 8. Deploying bots in the wild
- 9. Learning by practice: reinforcement learning
- 10. Reinforcement learning with policy gradients
- 11. Reinforcement learning with value methods
- 12. Reinforcement learning with actor-critic methods
Part 3 Greater than the sum of its parts
- 13. AlphaGo: Bringing it all together
- 14. AlphaGo Zero: Integrating tree search with reinforcement learning
Appendixes
- Appendix A: Mathematical foundations
- Appendix B: The backpropagation algorithm
- Appendix C: Go programs and servers
- Appendix D: Training and deploying bots by using Amazon Web Services
- Appendix E: Submitting a bot to the Online Go Server
Pumperla Max, Ferguson Kevin / Памперла Макс, Фергюсон Кевин - Deep Learning and the Game of Go / Глубокое обучение и игра в го [2020, PDF, RUS]
