OpenNN is an open-source neural networks library for machine learning, developed in C++. It's designed for solving real-world applications in various fields like energy, marketing, and health.
Overview:
OpenNN is an open-source class library written in C++ that implements neural networks, a key area of machine learning research. It is designed to solve many real-world applications in various sectors such as energy, marketing, health, and more. OpenNN stands out for its high performance, offering faster training times and the ability to manage larger data sets compared to other libraries.
Users:
OpenNN is used by a diverse group of users, including data scientists, AI researchers, ML practitioners, and developers across various industries. It is also being developed by Artelnics, a consulting company specialized in artificial intelligence and big data.
Goal:
The primary goal of OpenNN is to provide a high-performance platform for advanced analytics. It is developed in C++ for better memory management and higher processing speed, and implements CPU parallelization by means of OpenMP and GPU acceleration with CUDA.
Uses and Features:
How it Works:
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