tfhub (0.7.0)

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.

Maintainer: Daniel Falbel
Author(s): Daniel Falbel [aut, cre], JJ Allaire [aut], RStudio [cph, fnd], Google Inc. [cph]

License: Apache License 2.0

Uses: magrittr, reticulate, rstudioapi, tensorflow, abind, testthat, knitr, rmarkdown, tibble, callr, magick, recipes, keras, tfestimators, fs, pins

Released 5 months ago.