NeuralNetwork.NET 1.5.1

.NET Standard 2.0
There is a newer version of this package available.
See the version list below for details.
dotnet add package NeuralNetwork.NET --version 1.5.1
NuGet\Install-Package NeuralNetwork.NET -Version 1.5.1
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="NeuralNetwork.NET" Version="1.5.1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add NeuralNetwork.NET --version 1.5.1
#r "nuget: NeuralNetwork.NET, 1.5.1"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install NeuralNetwork.NET as a Cake Addin
#addin nuget:?package=NeuralNetwork.NET&version=1.5.1

// Install NeuralNetwork.NET as a Cake Tool
#tool nuget:?package=NeuralNetwork.NET&version=1.5.1

An easy to use CNN library, built from scratch in C# 7.2 for .NET Standard 2.0, with native memory management for better performance and additional GPU support with cuDNN

Product Versions
.NET net5.0 net5.0-windows net6.0 net6.0-android net6.0-ios net6.0-maccatalyst net6.0-macos net6.0-tvos net6.0-windows net7.0 net7.0-android net7.0-ios net7.0-maccatalyst net7.0-macos net7.0-tvos net7.0-windows
.NET Core netcoreapp2.0 netcoreapp2.1 netcoreapp2.2 netcoreapp3.0 netcoreapp3.1
.NET Standard netstandard2.0 netstandard2.1
.NET Framework net461 net462 net463 net47 net471 net472 net48 net481
MonoAndroid monoandroid
MonoMac monomac
MonoTouch monotouch
Tizen tizen40 tizen60
Xamarin.iOS xamarinios
Xamarin.Mac xamarinmac
Xamarin.TVOS xamarintvos
Xamarin.WatchOS xamarinwatchos
Compatible target framework(s)
Additional computed target framework(s)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

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Version Downloads Last updated
2.1.3 1,679 5/1/2020
2.1.2 1,633 10/22/2018
2.1.0 1,244 2/1/2018
2.0.0 931 1/26/2018
2.0.0-beta1 780 1/24/2018
1.5.1 1,015 1/13/2018
1.4.0 908 1/9/2018
1.3.0 999 1/7/2018
1.2.0 1,016 1/7/2018

• New optimizers added (Adam, AdaMax, RMSProp, Momentum and more)
• MNIST, CIFAR-10 and CIFAR-100 datasets added
• Added APIs to partition a training dataset
• Added new distance-based accuracy tester
• APIs refactoring and improvements
• Bug fixes and speed optimizations