Convsharp 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.

Install-Package Convsharp -Version 1.0.0
dotnet add package Convsharp --version 1.0.0
<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
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Release Notes

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

This package is not used by any popular GitHub repositories.

Version History

Version Downloads Last updated
1.0.0 397 4/22/2018