OpenNN is a software library written in C++ for predictive analytics. It implements neural networks, the most successful deep learning method.
The main advantage of OpenNN is its high performance. This library outstands in terms of execution speed and memory allocation. It is constantly optimized and parallelized in order to maximize its efficiency.
Some typical applications of OpenNN are function regression (modelling), pattern recognition (classification) and time series prediction (forecasting).
The documentation is composed by tutorials and examples to offer a complete overview about the library.
OpenNN is developed by Artelnics, a company specialized in artificial intelligence.
- Extensive documentation.
- Unit testing.
- Many examples.
Excellent open source codes written in C++. A couple of bugs like the maxima and minima used during unscaling are wrong, due to which unscaling does not happen at the end. And similar smaller bugs. Overall great. I wish there was a support.
Nice work ! Great library.
It a shame it is not as popular as FANN. Terrific library. Found a bug with unscaling output that took me 11 hrs of work, yet still happy. I have reported it. Just in case: neural_network.cpp :line847: if(!unscaling_layer_flag) should be if(!unscaling_layer_pointer)
fast download and works, recommended.