Package: tfhub 0.8.1.9000

Tomasz Kalinowski

tfhub: 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.

Authors:Tomasz Kalinowski [aut, cre], Daniel Falbel [aut], JJ Allaire [aut], RStudio [cph, fnd], Google Inc. [cph]

tfhub_0.8.1.9000.tar.gz
tfhub_0.8.1.9000.zip(r-4.7)tfhub_0.8.1.9000.zip(r-4.6)tfhub_0.8.1.9000.zip(r-4.5)
tfhub_0.8.1.9000.tgz(r-4.6-any)tfhub_0.8.1.9000.tgz(r-4.5-any)
tfhub_0.8.1.9000.tar.gz(r-4.7-any)tfhub_0.8.1.9000.tar.gz(r-4.6-any)
tfhub_0.8.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tfhub/json (API)

# Install 'tfhub' in R:
install.packages('tfhub', repos = c('https://rstudio.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rstudio/tfhub/issues

On CRAN:

Conda:

7.64 score 29 stars 1 packages 111 scripts 278 downloads 11 exports 30 dependencies

Last updated from:1610faf56f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK476
source / vignettesOK201
linux-release-x86_64OK167
macos-release-arm64OK109
macos-oldrel-arm64OK103
windows-develOK175
windows-releaseOK146
windows-oldrelOK142
wasm-releaseOK147

Exports:%>%hub_image_embedding_columnhub_loadhub_sparse_text_embedding_columnhub_text_embedding_columninstall_tensorflowinstall_tfhublayer_hubshapestep_pretrained_text_embeddingtf

Dependencies:backportsbase64enccliconfigglueherejsonlitelatticelifecyclemagrittrMatrixpngprocessxpsR6rappdirsRcppRcppTOMLreticulaterlangrprojrootrstudioapitensorflowtfautographtfrunstidyselectvctrswhiskerwithryaml

Overview
Installation | Loading modules | Using with Keras | Using with tfdatasets | Using with recipes | tfhub.dev
Rendered fromintro.Rmdusingknitr::rmarkdown

Last update: 2021-12-15
Started: 2019-12-02

TensorFlow Hub with Keras
Setup | An ImageNet classifier | Download the classifier | Run it on a single image | Simple transfer learning | Dataset | Download the headless model | Attach a classification head | Train the model
Rendered fromhub-with-keras.Rmdusingknitr::rmarkdown

Last update: 2021-12-15
Started: 2019-08-14

Key concepts
Using a Module | Instantiating a Module | Caching Modules | Applying a Module | Creating a new Module | General approach | Fine-Tuning | For consumers | For publishers | Hosting a Module | Protocol
Rendered fromkey-concepts.Rmdusingknitr::rmarkdown

Last update: 2019-12-02
Started: 2019-08-14