OpenNN is an open-source neural networks library designed for building robust machine learning models using C++.
Addressing real-world applications in energy, marketing, health, and more, OpenNN offers sophisticated algorithms for various artificial intelligence tasks, including regression, classification, forecasting, and association.
Boasting higher capacity, OpenNN efficiently handles larger datasets, loading 1.8 times more data than TensorFlow and PyTorch on the same computer. Accelerating training processes, OpenNN outpaces PyTorch by 2.508 times and TensorFlow by 1.551 times on average.
With over 50,000 users, including prominent organizations like Airbus, Philips, and Thales, OpenNN is developed by Artelnics, an AI and big data consulting company.
Additionally, Neural Designer, a user-friendly software tool developed from OpenNN, allows users to build neural network models without programming, simplifying data entry and result interpretation.
OpenNN serves as a powerful and efficient open-source neural networks library for machine learning applications. It enables users to tackle various AI tasks, such as regression, classification, forecasting, and association, while providing advantages like higher capacity for handling larger datasets and faster training speeds compared to other popular frameworks.
Developed by Artelnics, OpenNN caters to both research and enterprise users, fostering innovation and optimal results in AI and big data projects.
