DESCRIPTION

Package: tfhub
Type: Package
Title: Interface to 'TensorFlow' Hub
Version: 0.8.1.9000
Authors@R: c(
  person("Tomasz", "Kalinowski", role = c("aut", "cre"),
         email = "tomasz.kalinowski@rstudio.com"),
  person("Daniel", "Falbel", role = c("aut"),
         email = "daniel@rstudio.com"),
  person("JJ", "Allaire", role = c("aut"),
         email = "jj@rstudio.com"),
  person("RStudio", role = c("cph", "fnd")),  
  person(family = "Google Inc.", role = c("cph"))
  )
Description: '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.
License: Apache License 2.0
URL: https://github.com/rstudio/tfhub
BugReports: https://github.com/rstudio/tfhub/issues
SystemRequirements: TensorFlow >= 2.0 (https://www.tensorflow.org/)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.2
Imports:
    reticulate (>= 1.9.0.9002), 
    tensorflow (>= 1.8.0.9006),
    magrittr,
    rstudioapi (>= 0.7),
    vctrs
Suggests:
    testthat (>= 2.1.0),
    knitr,
    tfestimators,
    keras,
    rmarkdown,
    callr,
    recipes,
    tibble,
    abind,
    fs,
VignetteBuilder: knitr
Config/reticulate: 
  list(
    packages = list(
      list(package = "tensorflow_hub", pip = TRUE)
    )
  )