keras-package {keras} | R Documentation

## R interface to Keras

### 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: JJ Allaire jj@rstudio.com

Authors:

- François Chollet [copyright holder]

Other contributors:

- RStudio [contributor, copyright holder, funder]

- Google [contributor, copyright holder, funder]

- Yuan Tang terrytangyuan@gmail.com (0000-0001-5243-233X) [contributor, copyright holder]

- Daniel Falbel [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

[Package keras version 2.2.4 Index]