OpenNN is a software library written in C++ which implements neural networks. It is based on the most popular neural network model, the multilayer perceptron.
The package deploys data mining methods contained in a bundle of classes. These can be embedded in other software tools using an application programming interface (API) for the interaction between the software tool and the predictive analytics tasks.
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 Intelnics, a company specialized in artificial intelligence.
- Extensive documentation.
- Unit testing.
- Many examples.
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.