Interface to 'Keras' <https://keras.io>, a high-level neural networks 'API'. '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: | 2.1.3 |
| Depends: | R (≥ 3.2) |
| Imports: | reticulate (≥ 1.4), tensorflow (≥ 1.5), tfruns (≥ 1.0), magrittr, zeallot, methods, R6 |
| Suggests: | ggplot2, testthat, knitr, rmarkdown |
| Published: | 2018-01-17 |
| Author: | JJ Allaire [aut, cre], François Chollet [aut, cph], RStudio [ctb, 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://keras.rstudio.com |
| NeedsCompilation: | no |
| SystemRequirements: | Keras >= 2.0 (https://keras.io) |
| Materials: | NEWS |
| In views: | HighPerformanceComputing |
| 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 Frequently Asked Questions Guide to the Functional API Getting Started with Keras Guide to the Sequential Model Training Callbacks Training Visualization Why Use Keras? |
| Package source: | keras_2.1.3.tar.gz |
| Windows binaries: | r-devel: keras_2.1.3.zip, r-release: keras_2.1.3.zip, r-oldrel: keras_2.1.3.zip |
| OS X El Capitan binaries: | r-release: keras_2.1.3.tgz |
| OS X Mavericks binaries: | r-oldrel: keras_2.1.2.tgz |
| Old sources: | keras archive |
| Reverse depends: | kerasformula |
| Reverse suggests: | OSTSC, reinforcelearn, tensorflow, tfdatasets |
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