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Deep Learning with R Cookbook
book

Deep Learning with R Cookbook

by Swarna Gupta, Rehan Ali Ansari, Dipayan Sarkar
February 2020
Intermediate to advanced
328 pages
8h 19m
English
Packt Publishing
Content preview from Deep Learning with R Cookbook

Implementing neural networks with Keras

TensorFlow is an open source software library developed by Google for numerical computation using data flow graphs. The R interface for TensorFlow is developed by RStudio, which provides an interface for three TensorFlow APIs:

  • Keras
  • Estimator
  • Core

The keras, tfestimators, and tensorflow packages provide R interfaces to the aforementioned APIs, respectively. Keras and Estimator are high-level APIs, while Core is a low-level API that offers full access to the core of TensorFlow. In this recipe, we will demonstrate how we can build and train deep learning models using Keras.

Keras is a high-level neural network API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. The R ...

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Publisher Resources

ISBN: 9781789805673