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Neural Networks with R
book

Neural Networks with R

by Balaji Venkateswaran, Giuseppe Ciaburro
September 2017
Beginner to intermediate
270 pages
5h 53m
English
Packt Publishing
Content preview from Neural Networks with R

The rnn package in R

To implement RNN in an R environment, we can use the rnn package available through CRAN. This package is widely used to implement an RNN. A brief description of the rnn package, extracted from the official documentation, is shown in the following table:

rnn: Recurrent Neural Network
Description:
Implementation of an RNN in R
Details:
Package: rnn Type: Package Version: 0.8.0 Date: 2016-09-11 License: GPL-3
Authors:

Bastiaan Quast Dimitri Fichou

The main functions used from the rnn package are shown in this table:

predict_rnn

Predicts the output of an RNN model:

predict_rnn(model, X, hidden = FALSE, real_output = T, ...)

run.rnn_demo

A function to launch the rnn_demo app​:

run.rnn_demo(port ...

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Publisher Resources

ISBN: 9781788397872Supplemental Content