rnn: Recurrent Neural Network

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Implementation of a Recurrent Neural Network in R.

Author
Bastiaan Quast [aut, cre], Dimitri Fichou [aut]
Date of publication
2016-09-11 16:24:24
Maintainer
Bastiaan Quast <bquast@gmail.com>
License
GPL-3
Version
0.8.0
URLs

View on CRAN

Man pages

backprop_gru
backprop_gru
backprop_lstm
backprop_lstm
backprop_r
backprop_r
backprop_rnn
backprop_rnn
bin2int
Binary to Integer
clean_lstm
clean_lstm
clean_r
init_r
clean_rnn
clean_rnn
epoch_annealing
epoch annealing
epoch_print
epoch printing for trainr
init_gru
init_gru
init_lstm
init_lstm
init_r
init_r
init_rnn
init_rnn
int2bin
Integer to Binary
loss_L1
L1 loss
predict_gru
gru prediction function
predict_lstm
gru prediction function
predictr
Recurrent Neural Network
predict_rnn
Recurrent Neural Network
rnn
Recurrent Neural Network
run.finance_demo
Demo app on finance data
run.rnn_demo
Demo app
trainr
Recurrent Neural Network
update_adagrad
update_adagrad
update_r
update_r
update_sgd
update_sgd

Files in this package

rnn
rnn/inst
rnn/inst/CITATION
rnn/inst/doc
rnn/inst/doc/GRU_units.html
rnn/inst/doc/sinus.html
rnn/inst/doc/GRU_units.R
rnn/inst/doc/sinus.Rmd
rnn/inst/doc/rnn_units.R
rnn/inst/doc/LSTM_units.Rmd
rnn/inst/doc/GRU_units.Rmd
rnn/inst/doc/rnn.Rmd
rnn/inst/doc/rnn_units.html
rnn/inst/doc/sinus.R
rnn/inst/doc/LSTM_units.R
rnn/inst/doc/rnn.html
rnn/inst/doc/rnn_units.Rmd
rnn/inst/doc/rnn.R
rnn/inst/doc/LSTM_units.html
rnn/inst/shinyapps
rnn/inst/shinyapps/finance_demo
rnn/inst/shinyapps/finance_demo/www
rnn/inst/shinyapps/finance_demo/www/X.Rdata
rnn/inst/shinyapps/finance_demo/app.R
rnn/inst/shinyapps/rnn_demo
rnn/inst/shinyapps/rnn_demo/www
rnn/inst/shinyapps/rnn_demo/www/finance.Rdata
rnn/inst/shinyapps/rnn_demo/oscillation.R
rnn/inst/shinyapps/rnn_demo/cosinus.R
rnn/inst/shinyapps/rnn_demo/app.R
rnn/inst/shinyapps/rnn_demo/binary.R
rnn/inst/shinyapps/rnn_demo/finance.R
rnn/tests
rnn/tests/testthat.R
rnn/tests/testthat
rnn/tests/testthat/test_rnn.R
rnn/NAMESPACE
rnn/NEWS
rnn/R
rnn/R/backprop_r.R
rnn/R/update_r.R
rnn/R/loss_functions.R
rnn/R/run.finance_demo.R
rnn/R/run.rnn_demo.R
rnn/R/epoch_functions.R
rnn/R/init_r.R
rnn/R/trainr.R
rnn/R/clean_r.R
rnn/R/predictr.R
rnn/R/bin2int.R
rnn/R/rnn.R
rnn/R/int2bin.R
rnn/vignettes
rnn/vignettes/Oscilation_problem.R
rnn/vignettes/sinus.Rmd
rnn/vignettes/test_seq_to_seq_unsync.R
rnn/vignettes/LSTM_units.Rmd
rnn/vignettes/shakespear_character.R
rnn/vignettes/GRU_units.Rmd
rnn/vignettes/rnn.Rmd
rnn/vignettes/test_lstm.R
rnn/vignettes/rnn_units.Rmd
rnn/vignettes/LSTM.R
rnn/README.md
rnn/MD5
rnn/build
rnn/build/vignette.rds
rnn/DESCRIPTION
rnn/man
rnn/man/clean_rnn.Rd
rnn/man/int2bin.Rd
rnn/man/backprop_r.Rd
rnn/man/init_r.Rd
rnn/man/backprop_gru.Rd
rnn/man/predict_rnn.Rd
rnn/man/epoch_annealing.Rd
rnn/man/clean_r.Rd
rnn/man/run.rnn_demo.Rd
rnn/man/init_gru.Rd
rnn/man/loss_L1.Rd
rnn/man/init_rnn.Rd
rnn/man/clean_lstm.Rd
rnn/man/update_r.Rd
rnn/man/predictr.Rd
rnn/man/update_sgd.Rd
rnn/man/backprop_lstm.Rd
rnn/man/epoch_print.Rd
rnn/man/rnn.Rd
rnn/man/run.finance_demo.Rd
rnn/man/trainr.Rd
rnn/man/predict_gru.Rd
rnn/man/predict_lstm.Rd
rnn/man/bin2int.Rd
rnn/man/update_adagrad.Rd
rnn/man/backprop_rnn.Rd
rnn/man/init_lstm.Rd