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tensorflow: R Interface to 'TensorFlow'

Interface to 'TensorFlow' <https://www.tensorflow.org/>, an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more 'CPUs' or 'GPUs' in a desktop, server, or mobile device with a single 'API'. 'TensorFlow' was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.

Version: 2.16.0
Depends: R (≥ 3.6)
Imports: config, processx, reticulate (≥ 1.32), tfruns (≥ 1.0), utils, yaml, grDevices, tfautograph (≥ 0.3.1), rstudioapi (≥ 0.7), lifecycle
Suggests: testthat (≥ 2.1.0), keras3, pillar, withr, callr
Published: 2024-04-15
DOI: 10.32614/CRAN.package.tensorflow
Author: JJ Allaire [aut, cph], Tomasz Kalinowski [ctb, cph, cre], Daniel Falbel [ctb, cph], Dirk Eddelbuettel [ctb, cph], Yuan Tang ORCID iD [aut, cph], Nick Golding [ctb, cph], Google Inc. [ctb, cph] (Examples and Tutorials), Posit, PBC [cph, fnd]
Maintainer: Tomasz Kalinowski <tomasz.kalinowski at posit.co>
BugReports: https://github.com/rstudio/tensorflow/issues
License: Apache License 2.0
URL: https://github.com/rstudio/tensorflow
NeedsCompilation: no
SystemRequirements: TensorFlow (https://www.tensorflow.org/)
Materials: NEWS
In views: HighPerformanceComputing, MachineLearning, ModelDeployment
CRAN checks: tensorflow results

Documentation:

Reference manual: tensorflow.pdf

Downloads:

Package source: tensorflow_2.16.0.tar.gz
Windows binaries: r-devel: tensorflow_2.16.0.zip, r-release: tensorflow_2.16.0.zip, r-oldrel: tensorflow_2.16.0.zip
macOS binaries: r-release (arm64): tensorflow_2.16.0.tgz, r-oldrel (arm64): tensorflow_2.16.0.tgz, r-release (x86_64): tensorflow_2.16.0.tgz, r-oldrel (x86_64): tensorflow_2.16.0.tgz
Old sources: tensorflow archive

Reverse dependencies:

Reverse depends: animl, DCLEAR, deepregression, deeptrafo
Reverse imports: ARMALSTM, codacore, codez, decompDL, DeepPINCS, deepredeff, EEMDlstm, FuncNN, ganDataModel, ganGenerativeData, GenProSeq, gnn, greta, greta.censored, greta.dynamics, greta.gp, immApex, iSubGen, janus, keras, keras3, kerastuneR, LDNN, MBMethPred, ML2Pvae, mnda, neuralGAM, orthos, processpredictR, rTLsDeep, sentiment.ai, snap, SpatialDDLS, tfaddons, tfdatasets, tfdeploy, tfestimators, tfhub, tfio, tfNeuralODE, tfprobability, TSdeeplearning, TSLSTM, TSLSTMplus, tsLSTMx, VAExprs
Reverse suggests: bamlss, bundle, cloudml, CRISPRseek, CytoMethIC, dimRed, embed, GPUmatrix, infinityFlow, innsight, nn2poly, parsnip, reservr, runMCMCbtadjust, scaffolder, seriation, tfautograph, tfevents, vetiver

Linking:

Please use the canonical form https://CRAN.R-project.org/package=tensorflow to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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