Examples of Neural Networks

Implementations of several basic neural network concepts in R, as based on posts on \url{ http://qua.st/}.


learNN

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Implementations of several basic neural network concepts in R, as based on posts on http://qua.st/.

Installation

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")

Usage

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")

Additional Information

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.

http://qua.st/learNN/

Development

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

News

learNN 0.2.0

  • full dropout function
  • simplfied learn_gd

learNN 0.1.0

  • initial release!!
  • add back propagation
  • add gradient descent
  • add dropout

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("learNN")

0.2.0 by Bastiaan Quast, 3 years ago


Browse source code at https://github.com/cran/learNN


Authors: Bastiaan Quast [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Suggests testthat


See at CRAN