cbovar/ConvNetSharp
A C# library for training and evaluating convolutional neural networks, ported from ConvNetJS with CUDA GPU acceleration support.
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ConvNetSharp provides a framework for building and training convolutional neural networks in C#. It offers three approaches for creating networks: Core.Layers (stacked layers without computation graph), Flow.Layers (automatic computation graph), and computation graph (pure ops). The library leverages ManagedCuda for GPU acceleration and includes demos like MNIST classification.
Frequently asked
- What is cbovar/ConvNetSharp?
- A C# library for training and evaluating convolutional neural networks, ported from ConvNetJS with CUDA GPU acceleration support.
- Is ConvNetSharp open source?
- Yes — cbovar/ConvNetSharp is open source, released under the MIT license.
- What language is ConvNetSharp written in?
- cbovar/ConvNetSharp is primarily written in C#.
- How popular is ConvNetSharp?
- cbovar/ConvNetSharp has 474 stars on GitHub.
- Where can I find ConvNetSharp?
- cbovar/ConvNetSharp is on GitHub at https://github.com/cbovar/ConvNetSharp.