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https://github.com/alexandrelamarre/appliednn


https://github.com/alexandrelamarre/appliednn

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aNN
------------------

[![Build Status](https://travis-ci.com/MattClarkson/aNN.svg?branch=master)](https://travis-ci.com/MattClarkson/aNN)
[![Build Status](https://ci.appveyor.com/api/projects/status/5pm89ej732c1ekf0/branch/master)](https://ci.appveyor.com/project/MattClarkson/cmakecatch2)

Purpose
-------

Experimenting with implementing neural network data structures and algorithms from scratch.

Credits
-------

The template used for this project was developed as a teaching aid for UCL's ["Research Computing with C++"](http://rits.github-pages.ucl.ac.uk/research-computing-with-cpp/)
course developed by [Dr. James Hetherington](http://www.ucl.ac.uk/research-it-services/people/james)
and [Dr. Matt Clarkson](https://iris.ucl.ac.uk/iris/browse/profile?upi=MJCLA42).

Build Instructions
------------------

This project itself can be built if you just want to test it. In Linux terms that
would be:
``` cmake
git clone https://github.com/MattClarkson/aNN
mkdir aNN-Build
cd aNN-Build
cmake ../aNN
make
```