## Book description

None## Table of contents

- Preface
- 1. Introduction to Deep Learning
- 2. Introduction to TensorFlow Primitives
- 3. Linear and Logistic Regression with TensorFlow
- 4. Fully Connected Deep Networks
- 5. Hyperparameter Optimization
- 6. Convolutional Neural Networks
- 7. Recurrent Neural Networks
- 8. Reinforcement Learning
- 9. Training Large Deep Networks
- 10. The Future of Deep Learning
- Index

## Product information

- Title: TensorFlow for Deep Learning
- Author(s):
- Release date:
- Publisher(s): O'Reilly Media, Inc.
- ISBN: None

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