'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: | 0.8.0 |
| Imports: | reticulate (≥ 1.9.0.9002), tensorflow (≥ 1.8.0.9006), magrittr, rstudioapi (≥ 0.7) |
| Suggests: | testthat (≥ 2.1.0), knitr, tfestimators, keras, rmarkdown, callr, recipes, tibble, abind, fs, pins, magick |
| Published: | 2020-05-22 |
| Author: | Daniel Falbel [aut, cre], JJ Allaire [aut], RStudio [cph, fnd], Google Inc. [cph] |
| Maintainer: | Daniel Falbel <daniel 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 |
| CRAN checks: | tfhub results |
| Reference manual: | tfhub.pdf |
| Vignettes: |
TensorFlow Hub with Keras Overview Key concepts |
| Package source: | tfhub_0.8.0.tar.gz |
| Windows binaries: | r-devel: tfhub_0.8.0.zip, r-release: tfhub_0.8.0.zip, r-oldrel: tfhub_0.8.0.zip |
| macOS binaries: | r-release: tfhub_0.8.0.tgz, r-oldrel: tfhub_0.8.0.tgz |
| Old sources: | tfhub archive |
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