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General implementation of back propagation neural network in R

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Neural Net

I use this for personal projects when I need to be able to modify/test with the internals of the network. There are much more robust neural networks out there as packages, caret comes to mind.

The general framework of the software is based on the work of Andrew Ng and the class he taught at Coursera.

I have tested this software using the Iris and MNIST database of handwritten digits. The Iris dataset comes with R and you can get the MNIST data I used here.

Iris example

An example of using this neural net with the Iris Data set that is included with the R system.

Version Info

platform x86_64-apple-darwin13.4.0
arch x86_64
os darwin13.4.0
system x86_64, darwin13.4.0
status
major 3
minor 2.4
year 2016
month 03
day 10
svn rev 70301
language R
version.string R version 3.2.4 (2016-03-10) nickname Very Secure Dishes

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General implementation of back propagation neural network in R

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