What is OpenNN and How it works? An Overview and Its Use Cases

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What is OpenNN?

It is an open source class library written in C++ which implements neural networks. OpenNN is a free neural networks library for advanced analytics. It has solved many real-world applications in energy, marketing, health and more.
OpenNN is a tool in the Machine Learning Tools category of a tech stack.
It uses machine learning techniques for solving predictive analytics tasks in different fields. For instance, the library has been applied in the engineering, energy, or chemistry sectors.

It is developed in C++ for better memory management and higher processing Speed, implements CPU parallelization by means of openMP and GPU acceleration with CUDA. openNN has been written in ANSI C++.This means that the library can be build on any system with little effort. For example, natural designer is software tool for advanced analytics.it been developed from OpenNN and contains a graphical user interface which simple data entry and interpretation of result.

History

OpenNN development began in 2003 at the International Center for Numerical Methods in Engineering, within a European Union funded research project called RAMFLOOD (Risk Evaluation and Management of Floods). It then continued as part of similar projects. OpenNN is being developed by the startup company Artelnics.
OpenNN is based on Ph.D. thesis of R. Lopez, “Neural Networks for Variationally Problems in Engineering”, at Technical University of Catalonia, 2008.

Use cases of OpenNN

Open source licensing encourages innovation through collaboration. Without it, many of the technologies we take for granted today would never have developed, or would be locked away behind patent law. The open source movement is the reason that technology has developed at such a breakneck pace for the past few decades.