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R Deep Learning Essentials - Second Edition
book

R Deep Learning Essentials - Second Edition

by Mark Hodnett, Joshua F. Wiley
August 2018
Intermediate to advanced
378 pages
9h 9m
English
Packt Publishing
Content preview from R Deep Learning Essentials - Second Edition

Deep Learning Models Using TensorFlow in R

This chapter is about using TensorFlow in R. We have already used TensorFlow quite a lot, as Keras is a high-level neural network API that uses either TensorFlow, CNTK, or Theano. In R, Keras uses TensorFlow in the background. TensorFlow is more difficult to develop deep learning models in. However, there are two interesting packages in TensorFlow that could be overlooked: TensorFlow estimators and TensorFlow runs. We will cover both of these packages in this chapter.

In this chapter, we will cover the following topics:

  • Introduction to TensorFlow
  • Building models using TensorFlow
  • TensorFlow estimators
  • TensorFlow runs packages
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Publisher Resources

ISBN: 9781788992893Supplemental Content