Implementation of a Recurrent Neural Network in R.
Demonstration rnn demonstration InstallationThe stable version can be installed from CRAN using:
The development version, to be used at your peril, can be installed from GitHub using the remotes
package.
if (!require('remotes')) install.packages('remotes')
remotes::install_github('bquast/rnn')
Usage
Following installation, the package can be loaded using:
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:
Additional InformationAn overview of the changes is available in the NEWS file.
There is a dedicated website with information hosted on my personal website.
https://qua.st/rnn/
DevelopmentDevelopment takes place on the GitHub page.
https://github.com/bquast/rnn/
Bugs can be filed on the issues page on GitHub.
https://github.com/bquast/rnn/issues
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4