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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 (26) Chapters

Title Page

Copyright and Credits

Packt Upsell

Foreword

Contributors

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

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Chapter 17. TensorFlow and Keras in R

R is an open source platform that includes an environment and a language for statistical computing. It also has a desktop and web-based IDE known as R Studio. More information about R is available at the following link: https://www.r-project.org/. R provides support for TensorFlow and Keras by providing the following R packages:

tensorflow package offers support for the TF core API
tfestimators package provides support for the TF estimators API
keras package provides support for the Keras API
tfruns package for the TensorBoard-style visualization of models and training sessions

In this chapter, we shall learn how to use TensorFlow in R and will cover the following topics:

Installing TensorFlow and Keras packages in R
TF core API in R
TF estimator API in R
Keras API in R
TensorBoard in R
tfruns package in R

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