tfhub: Interface to 'TensorFlow' Hub (original) (raw)
'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 |
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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 |
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