keras: R Interface to 'Keras'
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: | 2.15.0 |
| Depends: | R (≥ 3.6) |
| Imports: | generics (≥ 0.0.1), reticulate (≥ 1.31), tensorflow (≥ 2.13.0.9000), tfruns (≥ 1.0), magrittr, zeallot, glue, methods, R6, rlang |
| Suggests: | ggplot2, testthat (≥ 2.1.0), knitr, rmarkdown, callr, tfdatasets, withr, png, jpeg |
| Published: | 2024-04-20 |
| DOI: | 10.32614/CRAN.package.keras |
| Author: | Tomasz Kalinowski [ctb, cph, cre],
Daniel Falbel [ctb, cph],
JJ Allaire [aut, cph],
François Chollet [aut, cph],
RStudio [ctb, cph, fnd],
Google [ctb, cph, fnd],
Yuan Tang  [ctb,
cph],
Wouter Van Der Bijl [ctb, cph],
Martin Studer [ctb, cph],
Sigrid Keydana [ctb] |
| Maintainer: | Tomasz Kalinowski <tomasz at posit.co> |
| BugReports: | https://github.com/rstudio/keras/issues |
| License: | MIT + file LICENSE |
| URL: | https://tensorflow.rstudio.com/, https://github.com/rstudio/keras/tree/r2 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | HighPerformanceComputing, ModelDeployment |
| CRAN checks: | keras results |
Documentation:
Downloads:
| Package source: | keras_2.15.0.tar.gz |
| Windows binaries: | r-devel: keras_2.15.0.zip, r-release: keras_2.15.0.zip, r-oldrel: keras_2.15.0.zip |
| macOS binaries: | r-release (arm64): keras_2.15.0.tgz, r-oldrel (arm64): keras_2.15.0.tgz, r-release (x86_64): keras_2.15.0.tgz, r-oldrel (x86_64): keras_2.15.0.tgz |
| Old sources: | keras archive |
Reverse dependencies:
| Reverse depends: | DeepPINCS, deepregression, deeptrafo, GenProSeq, LDNN, MantaID, ttgsea, VAExprs |
| Reverse imports: | animl, ARMALSTM, autokeras, codacore, codez, CRISPRseek, criticality, decompDL, deepredeff, EEMDlstm, forecasteR, FuncNN, gnn, imageseg, iSubGen, janus, LilRhino, MBMethPred, ML2Pvae, mnda, neuralGAM, orthos, PLEXI, ProcData, processpredictR, roseRF, rTLsDeep, snap, soundClass, SpatialDDLS, SPORTSCausal, tfaddons, tfNeuralODE, tfprobability, TraceAssist, TSdeeplearning, TSLSTM, TSLSTMplus, tsLSTMx, TSPred |
| Reverse suggests: | AnnotationHub, bamlss, bundle, cloudml, condvis2, counterfactuals, CytoMethIC, dimRed, drake, embed, flowml, iml, infinityFlow, innsight, lime, mlflow, mrbin, nn2poly, parsnip, pdp, PhysicalActivity, qeML, regtools, RNAmodR.ML, seriation, survivalmodels, targets, tfhub, vetiver, vivid |
Linking:
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