CRAN/E | keras

keras

R Interface to 'Keras'

Installation

About

Interface to 'Keras' , a high-level neural networks 'API'. 'Keras' was developed with a focus on enabling fast experimentation, supports both convolution based networks and recurrent networks (as well as combinations of the two), and runs seamlessly on both 'CPU' and 'GPU' devices.

tensorflow.rstudio.com/
github.com/rstudio/keras/tree/r2
Bug report File report

Key Metrics

Version 2.15.0
R ≥ 3.6
Published 2024-04-20 Today
Needs compilation? no
License MIT
License File
CRAN checks keras results

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Maintainer

Maintainer

Tomasz Kalinowski

tomasz@posit.co

Authors

Tomasz Kalinowski

ctb / cph / cre

Daniel Falbel

ctb / cph

JJ Allaire

aut / cph

François Chollet

aut / cph

RStudio

ctb / cph / fnd

Google

ctb / cph / fnd

Yuan Tang

ctb / cph

Wouter Van Der Bijl

ctb / cph

Martin Studer

ctb / cph

Sigrid Keydana

ctb

Material

NEWS
Reference manual
Package source

In Views

HighPerformanceComputing
ModelDeployment

Vignettes

Using Pre-Trained Models
Writing Custom Keras Layers
Writing Custom Keras Models
Frequently Asked Questions
Guide to the Functional API
Guide to Keras Basics
Getting Started with Keras
Saving and serializing models
Guide to the Sequential Model
Training Callbacks
Training Visualization

macOS

r-prerel

arm64

r-release

arm64

r-oldrel

arm64

r-prerel

x86_64

r-release

x86_64

Windows

r-prerel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

keras archive

Depends

R ≥ 3.6

Imports

generics ≥ 0.0.1
reticulate ≥ 1.31
tensorflow ≥2.13.0.9000
tfruns ≥ 1.0
magrittr
zeallot
glue
methods
R6
rlang

Suggests

ggplot2
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knitr
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Reverse Depends

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Reverse Imports

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