tensorflow: TensorFlow for R

In tensorflow: R Interface to 'TensorFlow'

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 [e-mail] [contributor, copyright holder]

Authors:

• JJ Allaire [copyright holder]

• Yuan Tang [e-mail] (ORCID) [copyright holder]

Other contributors:

• Daniel Falbel [e-mail] [contributor, copyright holder]

• Dirk Eddelbuettel [e-mail] [contributor, copyright holder]

• Nick Golding [e-mail] [contributor, copyright holder]

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

• Posit, PBC [copyright holder, funder]

See Also

Useful links:

• https://github.com/rstudio/tensorflow

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

tensorflow documentation built on Sept. 28, 2023, 5:06 p.m.