Interface to 'Keras', a high-level neural networks API which runs on top of 'TensorFlow'. 'Keras' was developed with a focus on enabling fast experimentation, supports both convolution based networks and recurrent networks (as well as combinations of the two), and runs seamlessly on both 'CPU' and 'GPU' devices.
Version: | 2.0.5 |
Imports: | reticulate (≥ 1.0), tensorflow (≥ 1.3), tfruns, magrittr, methods, R6 |
Suggests: | ggplot2, testthat, knitr, rmarkdown |
Published: | 2017-07-30 |
Author: | JJ Allaire [aut, cre], François Chollet [aut, cph], RStudio [cph, fnd], Google [ctb, cph, fnd], Yuan Tang [ctb, cph], Daniel Falbel [ctb, cph], Wouter Van Der Bijl [ctb, cph], Martin Studer [ctb, cph] |
Maintainer: | JJ Allaire <jj at rstudio.com> |
BugReports: | https://github.com/rstudio/keras/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/rstudio/keras |
NeedsCompilation: | no |
SystemRequirements: | TensorFlow >= 1.1 (https://www.tensorflow.org/) |
CRAN checks: | keras results |
Reference manual: | keras.pdf |
Vignettes: |
About Keras Layers About Keras Models Using Pre-Trained Models Keras Backend Writing Custom Keras Layers Guide to the Sequential Model Guide to the Functional API Guide to the Sequential Model TensorBoard Visualization Training Callbacks |
Package source: | keras_2.0.5.tar.gz |
Windows binaries: | r-devel: keras_2.0.5.zip, r-release: keras_2.0.5.zip, r-oldrel: not available |
OS X El Capitan binaries: | r-release: not available |
OS X Mavericks binaries: | r-oldrel: not available |
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