rnn: Recurrent Neural Network

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.

Version: 0.9.8
Depends: R (≥ 3.2.2)
Imports: sigmoid, shiny
Suggests: testthat, knitr, rmarkdown
Published: 2019-05-27
Author: Bastiaan Quast [aut, cre], Dimitri Fichou [aut]
Maintainer: Bastiaan Quast <bquast at gmail.com>
BugReports: https://github.com/bquast/rnn/issues
License: GPL-3
URL: http://qua.st/rnn, https://github.com/bquast/rnn
NeedsCompilation: no
Citation: rnn citation info
Materials: README NEWS
CRAN checks: rnn results

Downloads:

Reference manual: rnn.pdf
Vignettes: GRU units
LSTM units
Basic Recurrent Neural Network
Recurrent Neural Network
RNN units
Sinus and Cosinus
Package source: rnn_0.9.8.tar.gz
Windows binaries: r-devel: rnn_0.9.8.zip, r-release: rnn_0.9.8.zip, r-oldrel: rnn_0.9.8.zip
OS X binaries: r-release: rnn_0.9.8.tgz, r-oldrel: rnn_0.9.8.tgz
Old sources: rnn archive

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