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: 2.20.0
Depends: R (≥ 3.6)
Imports: config, processx, reticulate (≥ 1.41.0), tfruns (≥ 1.0), utils, yaml, grDevices, tfautograph (≥ 0.3.1), rstudioapi (≥ 0.7), lifecycle
Suggests: testthat (≥ 2.1.0), keras3, pillar, withr, callr
Published: 2025年08月22日
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>
NeedsCompilation: no
SystemRequirements: TensorFlow (https://www.tensorflow.org/)
Materials: NEWS
CRAN checks: tensorflow results

Documentation:

Reference manual: tensorflow.html , tensorflow.pdf

Downloads:

Windows binaries: r-devel: tensorflow_2.20.0.zip, r-release: tensorflow_2.20.0.zip, r-oldrel: tensorflow_2.20.0.zip
macOS binaries: r-release (arm64): tensorflow_2.20.0.tgz, r-oldrel (arm64): tensorflow_2.20.0.tgz, r-release (x86_64): tensorflow_2.20.0.tgz, r-oldrel (x86_64): tensorflow_2.20.0.tgz

Reverse dependencies:

Reverse depends: DCLEAR, deepregression, deeptrafo

Linking:

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