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 richmond.edu>
BugReports: https://github.com/statsmaths/kerasR/issues
License: LGPL-2
URL: https://github.com/statsmaths/kerasR
NeedsCompilation: no
SystemRequirements: Python (>= 2.7); keras <https://keras.io/> (>= 2.0.1)
Materials: NEWS
CRAN checks: kerasR results

Documentation:

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

Downloads:

Package source: kerasR_0.8.1.tar.gz
Windows binaries: r-devel: kerasR_0.8.1.zip, r-release: kerasR_0.8.1.zip, r-oldrel: kerasR_0.8.1.zip
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

Linking:

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