kerasR: R Interface to the Keras Deep Learning Library

Provides a consistent interface to the 'Keras' Deep Learning Library directly from within R. 'Keras' provides specifications for describing dense neural networks, convolution neural networks (CNN) and recurrent neural networks (RNN) running on top of either 'TensorFlow' or '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: 0.8.1
Depends: R (≥ 2.10)
Imports: reticulate (≥ 0.7)
Suggests: knitr, rmarkdown, testthat, covr
Published: 2022-08-17
Author: Taylor Arnold [aut, cre], Andrie de Vries [aut]
Maintainer: Taylor Arnold <tarnold2 at>
License: LGPL-2
NeedsCompilation: no
SystemRequirements: Python (>= 2.7); keras <> (>= 2.0.1)
Materials: NEWS
CRAN checks: kerasR results


Reference manual: kerasR.pdf
Vignettes: R Interface to the Keras Deep Learning Library


Package source: kerasR_0.8.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): kerasR_0.8.1.tgz, r-oldrel (arm64): kerasR_0.8.1.tgz, r-release (x86_64): kerasR_0.8.1.tgz, r-oldrel (x86_64): kerasR_0.8.1.tgz
Old sources: kerasR archive


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