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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

Back to deep learning

Many of the concepts in the previous section apply to deep learning because deep learning is simply neural networks with two or more hidden layers. To demonstrate this, let's look at the following code in R that loads the mxnet deep learning library and calls the help command on the function in that library that trains a deep learning model. Even though we have not trained any models using this library yet, we have already seen many of the parameters in this function:

library(mxnet)?mx.model.FeedForward.create
If you get errors saying the mxnet package is unavailable, see Chapter 1Getting Started with Deep Learning, for installation instructions. However, we are not running any mxnet code in this chapter, we only want ...
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Publisher Resources

ISBN: 9781788992893Supplemental Content