- 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
Authors
Valentino Zocca
Gianmario Spacagna
Daniel Slater
Peter Roelants
Reviewer
Max Pumperla
Commissioning Editor
Akram Hussain
Acquisition Editor
Vinay Argekar
Content Development Editor
Mayur Pawanikar
Technical Editor
Vivek Arora
Copy Editor
Safis Editing
Project Coordinator
Nidhi Joshi
Proofreader
Safis Editing
Indexer
Francy Puthiry
Graphics
Tania Dutta
Production Coordinator
Arvindkumar Gupta
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