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  [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:
Downloads:
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, embed, GPUmatrix, infinityFlow, innsight, nn2poly, parsnip, reservr, runMCMCbtadjust, scaffolder, seriation, tfautograph, tfevents, vetiver |
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