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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.html ,tfhub.pdf
Vignettes:TensorFlow Hub with Keras (source,R code)
Overview (source)
Key concepts (source,R code)

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 formhttps://CRAN.R-project.org/package=tfhubto link to this page.


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