tensorflow: TensorFlow for R

tensorflowR Documentation

TensorFlow for R

Description

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

Details

The TensorFlow API is composed of a set of Python modules that enable constructing and executing TensorFlow graphs. The tensorflow package provides access to the complete TensorFlow API from within R.

For additional documentation on the tensorflow package see https://tensorflow.rstudio.com

Author(s)

Maintainer: Tomasz Kalinowski tomasz.kalinowski@posit.co [contributor, copyright holder]

Authors:

Other contributors:

  • Daniel Falbel daniel@posit.co [contributor, copyright holder]

  • Dirk Eddelbuettel edd@debian.org [contributor, copyright holder]

  • Nick Golding nick.golding.research@gmail.com [contributor, copyright holder]

  • Google Inc. (Examples and Tutorials) [contributor, copyright holder]

  • Posit, PBC [copyright holder, funder]

See Also

Useful links:


tensorflow documentation built on May 29, 2024, 2:13 a.m.