Fast Artificial Neural Network (FANN) 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.
Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast.
Fann C# is a wapper around FANN that lets you use the FANN libraries from C# on Windows. Currently all methods of the neural_net and training_data classes have been implemented. Additionally the new FANN parallel methods have been added as part of the NeuralNet classes.
See the version list below for details.
Install-Package FANNCSharp-x86 -Version 0.1.7
dotnet add package FANNCSharp-x86 --version 0.1.7
<PackageReference Include="FANNCSharp-x86" Version="0.1.7" />
paket add FANNCSharp-x86 --version 0.1.7
#r "nuget: FANNCSharp-x86, 0.1.7"
This is the version 0.1.7 pre-release of FANNCSharp. This release has the following changes:
Fixed a bug in NeuralNet(NetworkType netType, ICollection<uint> layers) where I was accessing the layers ICollection before the first element by using its IEnumerator.
This package has no dependencies.
This package is not used by any NuGet packages.
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