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.


Reference manual

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0.8.0 by Daniel Falbel, a year ago

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Browse source code at

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 (

See at CRAN