kerasR: R Interface to the Keras Deep Learning Library

Provides a consistent interface to the 'Keras' Deep Learning Library directly from within R. 'Keras' (see <https://keras.io/> for more information) provides specifications for describing dense neural networks, convolution neural networks (CNN) and recurrent neural networks (RNN) running on top of either 'TensorFlow' (<https://www.tensorflow.org/>) or 'Theano' (<http://deeplearning.net/software/theano/>). Type conversions between Python and R are automatically handled correctly, even when the default choices would otherwise lead to errors. Includes complete R documentation and many working examples.

Version: 0.4.1
Depends: R (≥ 3.3.0)
Imports: reticulate
Suggests: knitr, rmarkdown
Published: 2017-03-20
Author: Taylor Arnold [aut, cre]
Maintainer: Taylor Arnold <taylor.arnold at acm.org>
License: LGPL-2
URL: https://github.com/statsmaths/kerasR
NeedsCompilation: no
SystemRequirements: Python (>= 2.7); keras <https://keras.io/> (>= 2.0.1)
Materials: README
CRAN checks: kerasR results

Downloads:

Reference manual: kerasR.pdf
Vignettes: R Interface to the Keras Deep Learning Library
Package source: kerasR_0.4.1.tar.gz
Windows binaries: r-devel: kerasR_0.4.1.zip, r-release: kerasR_0.4.1.zip, r-oldrel: not available
OS X Mavericks binaries: r-release: kerasR_0.4.1.tgz, r-oldrel: not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=kerasR to link to this page.