rnn v0.8.1

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Recurrent Neural Network

Implementation of a Recurrent Neural Network in R.

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rnn

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Implementation of a Recurrent Neural Network in R.

Installation

The stable version can be installed from CRAN using:

install.packages('rnn')

The development version, to be used at your peril, can be installed from GitHub using the devtools package.

if (!require('devtools')) install.packages('devtools')
devtools::install_github('bquast/rnn')

Usage

Following installation, the package can be loaded using:

library(rnn)

For general information on using the package, please refer to the help files.

help('trainr')
help('predictr')
help(package='rnn')

There is also a long form vignette available using:

vignette('rnn')

Additional Information

An overview of the changes is available in the NEWS file.

news(package='rnn')

There is a dedicated website with information hosted on my personal website.

http://qua.st/rnn

Development

Development takes place on the GitHub page.

http://github.com/rnn/

Bugs can be filed on the issues page on GitHub.

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

Functions in rnn

Name Description
rnn Recurrent Neural Network
update_r update_r
run.finance_demo Demo app on finance data
predict_lstm gru prediction function
run.rnn_demo Demo app
trainr Recurrent Neural Network
update_sgd update_sgd
predictr Recurrent Neural Network
clean_r init_r
clean_rnn clean_rnn
predict_gru gru prediction function
bin2int Binary to Integer
epoch_annealing epoch annealing
init_r init_r
clean_lstm clean_lstm
epoch_print epoch printing for trainr
init_rnn init_rnn
backprop_gru backprop_gru
update_adagrad update_adagrad
init_gru init_gru
init_lstm init_lstm
backprop_rnn backprop_rnn
backprop_r backprop_r
predict_rnn Recurrent Neural Network
backprop_lstm backprop_lstm
int2bin Integer to Binary
loss_L1 L1 loss
No Results!

Vignettes of rnn

Name
GRU_units.Rmd
LSTM.R
LSTM_units.Rmd
Oscilation_problem.R
rnn.Rmd
rnn_units.Rmd
shakespear_character.R
sinus.Rmd
test_lstm.R
test_seq_to_seq_unsync.R
No Results!

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Details

License GPL-3
LazyData true
RoxygenNote 6.0.1
URL http://qua.st/rnn, https://github.com/bquast/rnn
BugReports https://github.com/bquast/rnn/issues
VignetteBuilder knitr
NeedsCompilation no
Packaged 2018-06-21 18:08:11 UTC; bquast
Repository CRAN
Date/Publication 2018-06-21 18:23:56 UTC

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