Package: kerasR
Type: Package
Title: R Interface to the Keras Deep Learning Library
Version: 0.6.1
Authors@R: c(person("Taylor", "Arnold", email = "taylor.arnold@acm.org", role = c("aut", "cre")))
Author: Taylor Arnold [aut, cre]
Maintainer: Taylor Arnold <taylor.arnold@acm.org>
Description: 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.
Depends: R (>= 2.10)
Imports: reticulate (>= 0.7)
Suggests: knitr, rmarkdown, testthat, covr
URL: https://github.com/statsmaths/kerasR
BugReports: http://github.com/statsmaths/kerasR/issues
Encoding: UTF-8
SystemRequirements: Python (>= 2.7); keras <https://keras.io/> (>=
        2.0.1)
License: LGPL-2
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-06-01 11:26:22 UTC; taylor
Repository: CRAN
Date/Publication: 2017-06-01 12:05:36 UTC
Built: R 4.0.2; ; 2020-07-16 01:30:04 UTC; unix
