CRAN/E | tfhub

tfhub

Interface to 'TensorFlow' Hub

Installation

About

'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.

github.com/rstudio/tfhub
System requirements TensorFlow >= 2.0 (https://www.tensorflow.org/)
Bug report File report

Key Metrics

Version 0.8.1
Published 2021-12-19 851 days ago
Needs compilation? no
License Apache License 2.0
CRAN checks tfhub results

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Maintainer

Maintainer

Tomasz Kalinowski

tomasz.kalinowski@rstudio.com

Authors

Tomasz Kalinowski

aut / cre

Daniel Falbel

aut

JJ Allaire

aut

RStudio

cph / fnd

Google Inc.

cph

Material

README
NEWS
Reference manual
Package source

Vignettes

TensorFlow Hub with Keras
Overview
Key concepts

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

tfhub archive

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

Reverse Imports

sentiment.ai