1. Lucas Hermann Negri
  2. SuperNN

Overview

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SuperNN

About

SuperNN is an artificial neural network library, with support to arbitrary feed-forward topologies, that implements state-of-the-art supervised training algorithms such as Improved Resilient Backpropagation (iRprop) [Igel and Hüsken, 2000] and Neuron by Neuron (NBN) [Wilamowski, Yu, 2010].

SuperNN is released under the LGPLv3+ license. It was tested on modern GNU/Linux distributions and on MS-Windows 8 (by using MingW, VS2010, and VS2013).

Provides an exporter tool that allows one to generate standalone Java or C++ code to use trained neural networks without requiring SuperNN at runtime.

Dependencies

SuperNN depends on Eigen (compile time only).

License

LGPLv3+.

Compilation

$ mkdir build 
$ cd build
$ cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/usr/local ..
$ make -j
# make install

To generate the API documentation to doc/html:

$ doxygen doc/Doxyfile

To include SuperNN into your cmake project you can use the provided module located at cmake/FindSuperNN.cmake.

You can also generate standalone Java or C++ code to run a trained neural network without requiring supernn at runtime. The generators are located on the tools folder.

Usage

There are some usage examples in the tests folder.


Lucas Hermann Negri - lucashnegri@gmail.com - OProj