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.


Reference manual

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0.4.1 by Taylor Arnold, a month ago


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