keras-package: R interface to Keras

keras-packageR 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://tensorflow.rstudio.com for complete documentation.

Author(s)

Maintainer: Tomasz Kalinowski tomasz.kalinowski@rstudio.com [contributor, copyright holder]

Authors:

  • JJ Allaire [copyright holder]

  • Fran├žois Chollet [copyright holder]

Other contributors:

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

  • 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:


keras documentation built on March 31, 2023, 9:14 p.m.