Description
Recurrent Neural Network.
Description
Implementation of a Recurrent Neural Network architectures in native R, including Long Short-Term Memory (Hochreiter and Schmidhuber, <doi:10.1162/neco.1997.9.8.1735>), Gated Recurrent Unit (Chung et al., <arXiv:1412.3555>) and vanilla RNN.
README.md
rnn
Implementation of a Recurrent Neural Network in R.
Demonstration
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 remotes package.
if (!require('remotes')) install.packages('remotes')
remotes::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.
https://qua.st/rnn/
Development
Development takes place on the GitHub page.
https://github.com/bquast/rnn/
Bugs can be filed on the issues page on GitHub.
https://github.com/bquast/rnn/issues.