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Mastering TensorFlow 1.x

You're reading from Mastering TensorFlow 1.x Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras

Product type Paperback

Published in Jan 2018

Publisher Packt

ISBN-13 9781788292061

Length 474 pages

Edition 1st Edition

Languages

Python

Tools

Keras

Concepts

Deep Learning

Table of Contents (21) Chapters

Preface

1. TensorFlow 101 FREE CHAPTER

2. High-Level Libraries for TensorFlow

3. Keras 101

4. Classical Machine Learning with TensorFlow

5. Neural Networks and MLP with TensorFlow and Keras

6. RNN with TensorFlow and Keras

7. RNN for Time Series Data with TensorFlow and Keras

8. RNN for Text Data with TensorFlow and Keras

9. CNN with TensorFlow and Keras

10. Autoencoder with TensorFlow and Keras

11. TensorFlow Models in Production with TF Serving

12. Transfer Learning and Pre-Trained Models

13. Deep Reinforcement Learning

14. Generative Adversarial Networks

15. Distributed Models with TensorFlow Clusters

16. TensorFlow Models on Mobile and Embedded Platforms

17. TensorFlow and Keras in R

18. Debugging TensorFlow Models

19. Tensor Processing Units

20. Other Books You May Enjoy

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Who this book is for

This book is for anyone who wants to build or upgrade their skills in applying TensorFlow to deep learning problems. Those who are looking for an easy-to-follow guide that underlines the intricacies and complex use cases of deep learning will find this book useful. A basic understanding of TensorFlow and Python is required to get the most out of the book.

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