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OpenNN

OpenNN is a software library which implements neural networks, a main area of deep learning research

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Overview

OpenNN (Open Neural Networks Library) implements neural networks, a main area of deep learning research.

OpenNN implements data mining methods as a bundle of functions. It allows embedding functions in other software tools using an ‘Application Programming Interface (API)’ for the interaction between the software tool and the predictive analytics tasks. A graphical user interface (GUI) is still missing, but some functions can support the integration of specific visualization tools.

It implements multiprocessing programming by means of OpenMP and GPU acceleration with CUDA.

Documentation

Platform

   

Social

     

System Requirements

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Ratings

Aggregate
4.30 
 5
PAT RESEARCH 7.6 
 10 		based on professional's opinion
PAT RESEARCH 9.6 
 10 		based on 5 reviews

Developer

Artelnics

Written in

C++

Initial Release

22 November 2018

Repository

https://github.com/Artelnics/OpenNN

License

LGPL v3

Categories

Neural Networks, Deep Learning, Data Mining, Framework

Alternatives

Neural Networks
PyTorch  
Deep Learning
Apache SystemML   Eclipse Deeplearning4j   TensorFlow   The Microsoft Cognitive Toolkit   Torch   Apache MXNet (Incubating)   Caffe   Weka   PyTorch  
Data Mining
Massive Online Analysis (MOA)   scikit-learn   Yooreeka   Orange   ELKI   Weka  

This page was last updated with commit: Fixed syntax in software source files (1e763e9)