CRAN/E | tensorflow

tensorflow

R Interface to 'TensorFlow'

Installation

About

Interface to 'TensorFlow' , 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'. 'TensorFlow' was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.

github.com/rstudio/tensorflow
System requirements TensorFlow (https://www.tensorflow.org/)
Bug report File report

Key Metrics

Version 2.15.0
R ≥ 3.6
Published 2024-01-31 58 days ago
Needs compilation? no
License Apache License 2.0
CRAN checks tensorflow results

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Maintainer

Maintainer

Tomasz Kalinowski

tomasz.kalinowski@posit.co

Authors

JJ Allaire

aut / cph

Tomasz Kalinowski

ctb / cph / cre

Daniel Falbel

ctb / cph

Dirk Eddelbuettel

ctb / cph

Yuan Tang

aut / cph

Nick Golding

ctb / cph

Google Inc.

ctb / cph

(Examples and Tutorials)

Posit
PBC

cph / fnd

Material

NEWS
Reference manual
Package source

In Views

HighPerformanceComputing
MachineLearning
ModelDeployment

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

tensorflow archive

Depends

R ≥ 3.6

Imports

config
processx
reticulate ≥ 1.32
tfruns ≥ 1.0
utils
yaml
grDevices
tfautograph ≥ 0.3.1
rstudioapi ≥0.7
lifecycle

Suggests

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