Open Source Deep Learning Project: OpenNN

Deep Learning Specialization on Coursera

OpenNN – Open Neural Networks Library

Project Website: http://www.opennn.net/

Github Link: https://github.com/Artelnics/OpenNN

Description

OpenNN is an open source class library written in C++ programming language which implements neural networks, a main area of deep learning research. It is intended for advanced users, with high C++ and machine learning skills.

The library implements any number of layers of non-linear processing units for supervised learning. This deep architecture allows the design of neural networks with universal approximation properties.

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.

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. The documentation can be found at the official OpenNN site.

CMakeLists.txt are build files for CMake, it is also used byt the CLion IDE.

The .pro files are project files for the Qt Creator IDE, which can be downloaded from its site. Note that OpenNN does not make use of the Qt library.

OpenNN is developed by Artelnics, a company specialized in artificial intelligence.


Leave a Reply

Your email address will not be published. Required fields are marked *