R Interface to Keras
jjallaire Merge pull request #595 from rstudio/keras_preprocessing_adapt1
newer versions use keras_preprocessing module name
Latest commit c4dc7ae Nov 11, 2018

README.md

R interface to Keras

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Keras 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.

  • Is capable of running on top of multiple back-ends including TensorFlow, CNTK, or Theano.

See the package website at https://keras.rstudio.com for complete documentation.