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.


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Reference manual

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install.packages("kerasR")

0.6.1 by Taylor Arnold, a month ago


https://github.com/statsmaths/kerasR


Report a bug at http://github.com/statsmaths/kerasR/issues


Browse source code at https://github.com/cran/kerasR


Authors: Taylor Arnold [aut, cre]


Documentation:   PDF Manual  


LGPL-2 license


Imports reticulate

Suggests knitr, rmarkdown, testthat, covr

System requirements: Python (>= 2.7); keras <https://keras.io/> (>= 2.0.1)


See at CRAN