Chapter 1. Toward deep learning: a machine-learning introduction
2. Machine learning and game AI
Chapter 4. Playing games with tree search
Chapter 5. Getting started with neural networks
Chapter 6. Designing a neural network for Go data
Chapter 7. Learning from data: a deep-learning bot
Chapter 8. Deploying bots in the wild
Chapter 9. Learning by practice: reinforcement learning
Chapter 10. Reinforcement learning with policy gradients
Chapter 11. Reinforcement learning with value methods
Chapter 12. Reinforcement learning with actor-critic methods
3. Greater than the sum of its parts
Chapter 13. AlphaGo: Bringing it all together
Chapter 14. AlphaGo Zero: Integrating tree search with reinforcement learning
B. The backpropagation algorithm