Convsharp 1.0.0

.NET Core 2.0 
dotnet add package Convsharp --version 1.0.0
NuGet\Install-Package Convsharp -Version 1.0.0
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="Convsharp" Version="1.0.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add Convsharp --version 1.0.0
#r "nuget: Convsharp, 1.0.0"
#r directive can be used in F# Interactive, C# scripting and .NET Interactive. Copy this into the interactive tool or source code of the script to reference the package. 
// Install Convsharp as a Cake Addin
#addin nuget:?package=Convsharp&version=1.0.0

// Install Convsharp as a Cake Tool
#tool nuget:?package=Convsharp&version=1.0.0

Simple library for creating sequential models of convolutional neural networks. Library is for the solving small problems because is aimed on the readable code and modularity more than performance.

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
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

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
1.0.0 1,118 4/22/2018

First release of library:
- 1D and 2D convolutional layer
- 1D and 2D maxpooling layer
- flatten layer
- linear layer
- activation layer (ReLU, Tanh, Sigmoid, Softmax)
- loss functions (binary cross-entropy, categorical cross-entropy, MSE)
- optimalization algorithms (mini-batch SGD, Adam)
- regularization techniques: Dropout, L2 regularization