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rnn

Implementation of a Recurrent Neural Network in R.

Installation

The stable version can be installed from CRAN using:

install.packages('rnn')

The development version, to be used at your peril, can be installed from GitHub using the devtools package.

if (!require('devtools')) install.packages('devtools')
devtools::install_github('bquast/rnn')

Usage

Following installation, the package can be loaded using:

library(rnn)

For general information on using the package, please refer to the help files.

help('trainr')
help('predictr')
help(package='rnn')

There is also a long form vignette available using:

vignette('rnn')

Additional Information

An overview of the changes is available in the NEWS file.

news(package='rnn')

There is a dedicated website with information hosted on my personal website.

http://qua.st/rnn

Development

Development takes place on the GitHub page.

http://github.com/rnn/decompr

Bugs can be filed on the issues page on GitHub.

https://github.com/bquast/rnn/issues

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Version

Install

install.packages('rnn')

Monthly Downloads

362

Version

0.5.0

License

GPL-3

Maintainer

Bastiaan Quast

Last Published

May 6th, 2016

Functions in rnn (0.5.0)

predictr

Recurrent Neural Network
trainr

Recurrent Neural Network
int2bin

Integer to Binary
bin2int

Binary to Integer
rnn

Recurrent Neural Network