Description

Keras is a high-level neural networks API, developed with a focus on enabling fast experimentation. Keras has the following key features:

Details

• 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.

Author(s)

Maintainer: Daniel Falbel daniel@rstudio.com [contributor, copyright holder]

Authors:

• JJ Allaire [copyright holder]

• François Chollet [copyright holder]

Other contributors:

• RStudio [contributor, copyright holder, funder]

• Google [contributor, copyright holder, funder]

• Yuan Tang terrytangyuan@gmail.com (ORCID) [contributor, copyright holder]

• Wouter Van Der Bijl [contributor, copyright holder]

• Martin Studer [contributor, copyright holder]

• Sigrid Keydana [contributor]

See Also

Useful links:

• https://keras.rstudio.com

• Report bugs at https://github.com/rstudio/keras/issues