DownloadOpenNN is a software library written in C++ for advanced analytics. It implements neural networks, the most successful machine learning method.
Some typical applications of OpenNN are business intelligence (customer segmentation, churn prevention…), health care (early diagnosis, microarray analysis…) and engineering (performance optimization, predictive maitenance…).
OpenNN does not deal with computer vision or natural language processing.
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.
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.
Features
- Extensive documentation.
- Unit testing.
- Many examples.
Project Samples
Categories
Scientific/Engineering, Artificial Intelligence, Machine Learning, Computer Vision Libraries, Natural Language Processing (NLP)License
GNU Library or Lesser General Public License version 3.0 (LGPLv3)Follow OpenNN - Open Neural Networks Library
User Reviews
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OpenNN is an advanced open source class library which implements neural networks. This library has been developed in C++ programming language so that, it has better memory management and higher processing speed. It is really recommended. I have used it for different type of projects and it has generated successfully models.
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Excellent C++ library for designing neural networks for different type of problems. It also has a large amount for preproccesing the data and testing the methods.
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Great library to perform every desired action with neural networks. It has a good design and a perfect flexibility and generality to create the model that each problem requires. Nice new version solving some bugs and improving the documentation.
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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.
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Nice work ! Great library.