Description:

OpenNN 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.

Changes to previous version:

New algorithms, correction of bugs.

BibTeX Entry: Download

Corresponding Paper BibTeX Entry: Download

Supported Operating Systems: Linux, Windows, Mac Os

Data Formats: Space Separated Values

Tags: Neural Networks, Machine Learning, Data Mining, Big Data, Advanced Analytics

Archive: download here

Other available revisons

Version	Changelog	Date
3.1	New algorithms, correction of bugs.	March 3, 2017, 17:17:45
3.0	New algorithms, correction of bugs, model selection algorithms.	February 11, 2016, 16:55:37
2.2	New algorithms, correction of bugs.	August 10, 2015, 16:56:57
2.0	New utilities, correction of bugs, parallelization with OpenMP.	April 16, 2015, 18:38:55
1.0	Initial Announcement on mloss.org.	November 21, 2014, 13:15:47

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