tfhub

The tfhub package provides R wrappers to TensorFlow Hub.

TensorFlow Hub is a library for reusable machine learning modules.

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 can:

• Train a model with a smaller dataset,
• Improve generalization, and
• Speed up training.

Installation

You can install the development version from GitHub with:

# install.packages("devtools")
# devtools::install_github("rstudio/tfhub")
install.packages("tfhub", repos = c('https://rstudio.r-universe.dev', 'https://cloud.r-project.org'))

After installing the tfhub package you need to install the TensorFlow Hub python module:

library(tfhub)
install_tfhub()

Go to the website for more information.