What you need for this book
by Peter Roelants, Daniel Slater, Gianmario Spacagna, Valentino Zocca
Python Deep Learning
- Python Deep Learning
- Table of Contents
- Python Deep Learning
- Credits
- About the Authors
- About the Reviewer
- www.PacktPub.com
- Customer Feedback
- Preface
- 1. Machine Learning – An Introduction
- 2. Neural Networks
- 3. Deep Learning Fundamentals
- 4. Unsupervised Feature Learning
- 5. Image Recognition
- Similarities between artificial and biological models
- Intuition and justification
- Convolutional layers
- Pooling layers
- Dropout
- Convolutional layers in deep learning
- Convolutional layers in Theano
- A convolutional layer example with Keras to recognize digits
- A convolutional layer example with Keras for cifar10
- Pre-training
- Summary
- 6. Recurrent Neural Networks and Language Models
- 7. Deep Learning for Board Games
- Early game playing AI
- Using the min-max algorithm to value game states
- Implementing a Python Tic-Tac-Toe game
- Learning a value function
- Training AI to master Go
- Upper confidence bounds applied to trees
- Deep learning in Monte Carlo Tree Search
- Quick recap on reinforcement learning
- Policy gradients for learning policy functions
- Policy gradients in AlphaGo
- Summary
- 8. Deep Learning for Computer Games
- 9. Anomaly Detection
- 10. Building a Production-Ready Intrusion Detection System
- Index
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