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 ORCID iD [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:

Reference manual: keras.html , keras.pdf
Vignettes: Using Pre-Trained Models (source, R code)
Writing Custom Keras Layers (source, R code)
Writing Custom Keras Models (source, R code)
Frequently Asked Questions (source, R code)
Guide to the Functional API (source, R code)
Guide to Keras Basics (source, R code)
Getting Started with Keras (source, R code)
Saving and serializing models (source, R code)
Guide to the Sequential Model (source, R code)
Training Callbacks (source, R code)
Training Visualization (source, R code)

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: ARMALSTM, autokeras, codacore, codez, cramR, CRISPRseek, criticality, decompDL, deepredeff, EEMDlstm, FuncNN, gnn, imageseg, iSubGen, janus, LilRhino, MBMethPred, ML2Pvae, mnda, neuralGAM, orthos, PLEXI, ProcData, processpredictR, roseRF, rTLsDeep, snap, soundClass, SpatialDDLS, SPORTSCausal, tfaddons, tfNeuralODE, tfprobability, TraceAssist, transformerForecasting, TSdeeplearning, TSLSTM, TSLSTMplus, tsLSTMx, TSPred
Reverse suggests: AnnotationHub, bamlss, bundle, condvis2, counterfactuals, CytoMethIC, dimRed, drake, embed, fastml, 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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