Package: rnn 1.9.1

rnn: Recurrent Neural Network

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.

Authors:Bastiaan Quast [aut, cre]

rnn_1.9.1.tar.gz
rnn_1.9.1.zip(r-4.7-any)rnn_1.9.1.zip(r-4.6-any)rnn_1.9.1.zip(r-4.5-any)
rnn_1.9.1.tgz(r-4.6-any)rnn_1.9.1.tgz(r-4.5-any)
rnn_1.9.1.tar.gz(r-4.7-any)rnn_1.9.1.tar.gz(r-4.6-any)
rnn_1.9.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
rnn/json (API)

# Install 'rnn' in R:
install.packages('rnn', repos = c('https://bquast.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/bquast/rnn/issues

On CRAN:

Conda:

7.64 score 76 stars 82 scripts 588 downloads 2 mentions 7 exports 3 dependencies

Last updated from:91cd0a5352. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE105
source / vignettesOK200
linux-releaseNOTE118
macos-releaseNOTE113
macos-oldrelNOTE103
windows-develNOTE79
windows-releaseNOTE75
windows-oldrelNOTE80
wasm-releaseOK96

Exports:bin2intepoch_annealingepoch_printint2binloss_L1predictrtrainr

Dependencies:attentionsigmoidtransformer

GRU units
Feed forward pass | Back propagation pass
Rendered fromGRU_units.Rmdusingknitr::rmarkdown

Last update: 2026-01-12
Started: 2016-09-08

Simple Self-Attention from Scratch
Rendered fromsimple_attention.Rmdusingknitr::rmarkdown

Last update: 2026-01-12
Started: 2022-07-13

Recurrent Neural Network
Package | Code | Application
Rendered fromrnn.Rmdusingknitr::rmarkdown

Last update: 2019-05-19
Started: 2015-12-11

Sinus and Cosinus
Package
Rendered fromsinus.Rmdusingknitr::rmarkdown

Last update: 2019-05-19
Started: 2016-04-21

Basic Recurrent Neural Network
Rendered frombasic_rnn.Rmdusingknitr::rmarkdown

Last update: 2019-05-19
Started: 2018-06-22

LSTM units
Feed forward pass | Back propagation pass
Rendered fromLSTM_units.Rmdusingknitr::rmarkdown

Last update: 2016-09-11
Started: 2016-09-08

RNN units
Feed forward pass | Back propagation pass
Rendered fromrnn_units.Rmdusingknitr::rmarkdown

Last update: 2016-09-11
Started: 2016-09-08