22 packages returned for Tags:"Networks"

The AForge.Neuro library contains classes for artificial neural network computation - feed forwards networks with error back propagation learning and Kohonen self organizing maps. Full list of features is available on the project's web site.
Parallel Neural Networks
Parallel Neural Network Classes for .NET. Backpropagation class for easy training and testing. Code Project link: http://www.codeproject.com/Articles/1016734/Parallel-Artificial-Neural-Networks-in-NET-Frame GitHub link: https://github.com/hemanthk119/NeuralNetworks/
Hype: Compositional Machine Learning and Hyperparameter Optimization
Hype is a proof-of-concept deep learning library, where you can perform optimization on compositional machine learning systems of many components, even when such components themselves internally perform optimization. This is enabled by nested automatic differentiation (AD) giving you access to the... More information
The package helps to share any Umbraco document type in Linkedin, Twitter, and Facebook via one click. For now, you will never forget to share your blog post, news item or any other content on social networks. Please, carefully read quickstart tutorial to begin.
C# wrapper for DyNet: The Dynamic Neural Network Toolkit
DyNet is a neural network library developed by Carnegie Mellon University and many others. It is written in C++ (with bindings in Python and C#) and is designed to be efficient when run on either CPU or GPU, and to work well with networks that have dynamic structures that change for every training... More information