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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 |
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 |
Reference manual: | tensorflow.pdf |
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 depends: | animl, DCLEAR, deepregression, deeptrafo, pareg |
Reverse imports: | ARMALSTM, codacore, codez, decompDL, DeepPINCS, deepredeff, digitalDLSorteR, EEMDlstm, FuncNN, ganDataModel, ganGenerativeData, GenProSeq, gnn, greta, greta.dynamics, greta.gp, 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, DeProViR, dimRed, embed, GPUmatrix, iForecast, infinityFlow, innsight, nn2poly, parsnip, reservr, runMCMCbtadjust, scaffolder, seriation, tfautograph, tfevents, vetiver |
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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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