https://github.com/rstudio/keras3

R Interface to Keras
https://github.com/rstudio/keras3

Last synced: 7 days ago
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R Interface to Keras

• Host: GitHub
• URL: https://github.com/rstudio/keras3
• Owner: rstudio
• License: other
• Created: 2017-02-01T17:17:47.000Z (about 8 years ago)
• Default Branch: main
• Last Pushed: 2025-03-31T14:19:41.000Z (14 days ago)
• Last Synced: 2025-03-31T19:01:43.425Z (14 days ago)
• Language: R
• Homepage: https://keras3.posit.co/
• Size: 98.4 MB
• Stars: 845
• Watchers: 63
• Forks: 283
• Open Issues: 114
• Metadata Files:
  • Readme: README.md
  • Changelog: NEWS.md
  • License: LICENSE

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README

        
# R interface to Keras

![](https://s3.amazonaws.com/keras.io/img/keras-logo-2018-large-1200.png)

[![R-CMD-check](https://github.com/rstudio/keras3/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/rstudio/keras3/actions/workflows/R-CMD-check.yaml)

[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/keras3)](https://cran.r-project.org/package=keras3)

[![license](https://img.shields.io/github/license/mashape/apistatus.svg?maxAge=2592000)](https://github.com/keras-team/keras/blob/master/LICENSE)

[Keras](https://keras.io/) is a high-level neural networks API developed with a focus on enabling fast experimentation. *Being able to go from idea to result with the least possible delay is key to doing good research.* Keras has the following key features:

- Allows the same code to run on CPU or on GPU, seamlessly.

- User-friendly API which makes it easy to quickly prototype deep learning models.

- Built-in support for convolutional networks (for computer vision), recurrent networks (for sequence processing), and any combination of both.

- Supports arbitrary network architectures: multi-input or multi-output models, layer sharing, model sharing, etc. This means that Keras is appropriate for building essentially any deep learning model, from a memory network to a neural Turing machine.

See the package website at  for complete documentation.