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.