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.


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install.packages("kerasR")

0.4.1 by Taylor Arnold, 2 months ago


https://github.com/statsmaths/kerasR


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

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


See at CRAN