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OpenNN is an Open Source C++ library for advanced analytics and neural networks. It focuses on high performance, optimized for execution speed and memory allocation, making it suitable for machine learning tasks.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is opennn?

OpenNN is an Open Source software library written in C++ designed for advanced analytics, specifically implementing neural networks. Its primary advantage lies in its high performance, with constant optimization and parallelization to maximize execution speed and memory efficiency. The library is developed by Artelnics, a company specializing in artificial intelligence. OpenNN is utilized in various applications such as business intelligence for customer segmentation and churn prevention, healthcare for early diagnosis and microarray analysis, and engineering for performance optimization and predictive maintenance. Comprehensive documentation, including tutorials and examples, is available on the official OpenNN website to guide users.

Best used for

Ideal for developers who need to integrate high-performance neural networks into their applications, perform advanced analytics, and optimize machine learning tasks. Especially valuable for projects requiring efficient execution speed and minimal memory footprint in domains like business intelligence, healthcare, and engineering.

Common actions

implement neural networks

perform advanced analytics

optimize machine learning

develop high-performance applications

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Capabilities

Key features

C++ neural network library
High performance analytics
Optimized execution speed
Efficient memory allocation
Parallelized algorithms

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What programming language is OpenNN written in?

OpenNN is primarily written in C++, offering a robust and high-performance foundation for neural network implementations. This choice of language contributes to its efficiency in execution speed and memory management for advanced analytics tasks.

What are the typical applications of OpenNN?

OpenNN is used across various fields, including business intelligence for tasks like customer segmentation, healthcare for early diagnosis and microarray analysis, and engineering for performance optimization and predictive maintenance. Its high performance makes it suitable for demanding analytical applications.

Does OpenNN use the Qt library?

No, OpenNN does not make use of the Qt library. While it provides project files for the Qt Creator IDE, the library itself is independent of Qt, focusing solely on its core neural network and advanced analytics functionalities.

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