TY  - BOOK
AU  - Chollet Francois
TI  - Deep Learning with Python
SN  - 978-0-61729-443-3
U1  - 005.133 23
PY  - 2018///
CY  - USA
PB  - Manning Publications
N1  - Brief Table of Contents

Table of Contents

Preface

Acknowledgments

About this Book

About the Author

About the Cover

1. Fundamentals of deep learning

Chapter 1. What is deep learning?

Chapter 2. Before we begin: the mathematical building blocks of neural networks

Chapter 3. Getting started with neural networks

Chapter 4. Fundamentals of machine learning

2. Deep learning in practice

Chapter 5. Deep learning for computer vision

Chapter 6. Deep learning for text and sequences

Chapter 7. Advanced deep-learning best practices

Chapter 8. Generative deep learning

Chapter 9. Conclusions

Appendix A. Installing Keras and its dependencies on Ubuntu

Appendix B. Running Jupyter notebooks on an EC2 GPU instance
ER  -