CRAN/E | rnn

rnn

Recurrent Neural Network

Installation

About

Implementation of a Recurrent Neural Network architectures in native R, including Long Short-Term Memory (Hochreiter and Schmidhuber, doi:10.1162/neco.1997.9.8.1735), Gated Recurrent Unit (Chung et al., ) and vanilla RNN.

Citation rnn citation info
qua.st/rnn/
github.com/bquast/rnn
Bug report File report

Key Metrics

Version 1.9.0
R ≥ 3.2.2
Published 2023-04-22 373 days ago
Needs compilation? no
License GPL-3
CRAN checks rnn results

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Maintainer

Maintainer

Bastiaan Quast

bquast@gmail.com

Authors

Bastiaan Quast

aut / cre

Material

README
NEWS
Reference manual
Package source

Vignettes

GRU units
LSTM units
Basic Recurrent Neural Network
Recurrent Neural Network
RNN units
Simple Self-Attention from Scratch
Sinus and Cosinus

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

rnn archive

Depends

R ≥ 3.2.2

Imports

attention
sigmoid ≥ 1.4.0

Suggests

testthat
knitr
rmarkdown

Reverse Imports

SLBDD