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https://github.com/rstudio/keras3
R Interface to Keras
https://github.com/rstudio/keras3
Last synced: 3 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: 2025-02-01T21:22:19.000Z (18 days ago)
- Last Synced: 2025-02-10T10:00:39.771Z (10 days ago)
- Language: R
- Homepage: https://keras3.posit.co/
- Size: 95.1 MB
- Stars: 841
- Watchers: 64
- Forks: 282
- Open Issues: 110
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Metadata Files:
- Readme: README.md
- Changelog: NEWS.md
- License: LICENSE
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- jimsghstars - rstudio/keras3 - R Interface to Keras (R)
README
# R interface to Keras

[](https://github.com/rstudio/keras3/actions/workflows/R-CMD-check.yaml)
[](https://cran.r-project.org/package=keras3)
[](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.