'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: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=tfhub to link to this page.
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