FANN is a very popular implementation in C/C++ and has bindings for many other languages. This library contains based neural networks, train algorithms and flexible framework to create and explore other networks.
Cross-platform execution in both fixed and floating point are supported.
Encog Machine Learning Framework - An advanced neural network and machine learning framework. In scikit-learn (Python) 0.18 (current developement version) there will be an implementation of feed-forward neural networks (API documentation). Select from a wide range of models, decals, meshes, plugins, or audio that help bring your imagination into reality.
It supports neural network types such as single layer perceptron, multilayer feedforward perceptron, competing layer (Kohonen Layer), Elman Recurrent network, Hopfield Recurrent network… Open NN: An Open Source Neural Networks C++ Library Open NN is a comprehensive implementation of the multilayer perceptron neural network in the C++ programming language. Genann has a focus on being easy to use but is also very extensible. Simple Implementations of Neural Networks. Open NN: An Open Source Neural Networks C++ Library Open NN is a comprehensive implementation of the multilayer perceptron neural network in the C++ programming language. Encog trains using multithreaded resilient propagation. It includes a framework for easy handling of training data sets. Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Use Neural Network Library V1.04 and thousands of other assets to build an immersive game or experience. The library is supposed to be easily compiled both in Linux (gcc) and in Windows (MS Visual Studio) natively!
Who is this article for: This article is for developers who would like to build their own neural network from scratch. It solves many real-world applications in energy, marketing, health, and more.
You can find the source on GitHub or you can read more about what Darknet can do right here: Darknet: Open Source Neural Networks in C. Darknet is an open source neural network framework written in C and CUDA. Encog can also make use of a GPU to further speed processing time. We are not going to use any third party library. Additional Questions: You should post all questions here.
It is fast, easy to install, and supports CPU and GPU computation. Cross-platform execution in both fixed and floating point are supported. It includes several objective functionals and training algorithms, as well as different utilities for the solution of …