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tfhub: Interface to 'TensorFlow' Hub

'TensorFlow' Hub is a library for the publication, discovery, and consumption of reusable parts of machine learning models. A module is a self-contained piece of a 'TensorFlow' graph, along with its weights and assets, that can be reused across different tasks in a process known as transfer learning. Transfer learning train a model with a smaller dataset, improve generalization, and speed up training.

Version: 0.8.1
Imports: reticulate (≥ 1.9.0.9002), tensorflow (≥ 1.8.0.9006), magrittr, rstudioapi (≥ 0.7), vctrs
Suggests: testthat (≥ 2.1.0), knitr, tfestimators, keras, rmarkdown, callr, recipes, tibble, abind, fs
Published: 2021-12-19
DOI: 10.32614/CRAN.package.tfhub
Author: Tomasz Kalinowski [aut, cre], Daniel Falbel [aut], JJ Allaire [aut], RStudio [cph, fnd], Google Inc. [cph]
Maintainer: Tomasz Kalinowski <tomasz.kalinowski at rstudio.com>
BugReports: https://github.com/rstudio/tfhub/issues
License: Apache License 2.0
URL: https://github.com/rstudio/tfhub
NeedsCompilation: no
SystemRequirements: TensorFlow >= 2.0 (https://www.tensorflow.org/)
Materials: README NEWS
CRAN checks: tfhub results

Documentation:

Reference manual: tfhub.pdf
Vignettes: TensorFlow Hub with Keras
Overview
Key concepts

Downloads:

Package source: tfhub_0.8.1.tar.gz
Windows binaries: r-devel: tfhub_0.8.1.zip, r-release: tfhub_0.8.1.zip, r-oldrel: tfhub_0.8.1.zip
macOS binaries: r-release (arm64): tfhub_0.8.1.tgz, r-oldrel (arm64): tfhub_0.8.1.tgz, r-release (x86_64): tfhub_0.8.1.tgz, r-oldrel (x86_64): tfhub_0.8.1.tgz
Old sources: tfhub archive

Reverse dependencies:

Reverse imports: sentiment.ai

Linking:

Please use the canonical form https://CRAN.R-project.org/package=tfhub 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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