Implementations of several basic neural network concepts in R, as based on posts on http://qua.st/.
The stable version of the learNN
package can be install from CRAN using:
install.packages("learNN")
The development version, to be used at your peril, can be installed using:
if (!require('devtools')) install.packages('devtools')
devtools::install_github("bquast/learNN")
Following installation, the package can be loaded using:
library(learNN)
For general information on using the package, please refer to the help files.
help("learNN")
help(package = "learNN")
For examples of usage, see the function specific help page.
help("learn_bp")
help("learn_gd")
help("learn_do")
An overview of the changes is available in the NEWS file.
news(package="learNN")
There is also a blog post with information on my personal website.
Development takes place on the GitHub page.
https://github.com/bquast/learNN
Bugs can be filed on the issues page on GitHub.
https://github.com/bquast/learNN/issues
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