'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.
|Author||Daniel Falbel [aut, cre], JJ Allaire [aut], RStudio [cph, fnd], Google Inc. [cph]|
|Maintainer||Daniel Falbel <email@example.com>|
|License||Apache License 2.0|
|Package repository||View on CRAN|
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