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.


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Reference manual

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install.packages("tfhub")

0.8.0 by Daniel Falbel, 3 months ago


https://github.com/rstudio/tfhub


Report a bug at https://github.com/rstudio/tfhub/issues


Browse source code at https://github.com/cran/tfhub


Authors: Daniel Falbel [aut, cre] , JJ Allaire [aut] , RStudio [cph, fnd] , Google Inc. [cph]


Documentation:   PDF Manual  


Apache License 2.0 license


Imports reticulate, tensorflow, magrittr, rstudioapi

Suggests testthat, knitr, tfestimators, keras, rmarkdown, callr, recipes, tibble, abind, fs, pins, magick

System requirements: TensorFlow >= 2.0 (https://www.tensorflow.org/)


See at CRAN