learNN v0.2.0

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Examples of Neural Networks

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

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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

Functions in learNN

Name Description
learn_do Learn Dropout
learn_do15 Learn Dropout in 15 lines
learnn Learn Neural Networks
learn_gd Learn Gradient Descent
learn_bp11 Learn Back Propagation in 11 lines
learn_bp Learn Back Propagation
learn_gd13 Learn Gradient Descent in 13 lines
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Details

License GPL-3
NeedsCompilation no
Packaged 2015-09-29 10:41:22 UTC; quast
Repository CRAN
Date/Publication 2015-09-29 17:33:17

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