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 and Polyglot Notebooks. 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 Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
.NET Core netcoreapp2.0 is compatible.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
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
1.0.0 1,302 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