Interactive Neural Network Demo

This is a small 2D classification demo powered by a neural network written in C++ and rendered with OpenGL, compiled to WebAssembly and embedded in this Svelte app.

The plot shows how the model separates two classes of points. The summary bar tracks training progress (epoch, loss, accuracy, dataset, optimizer, and weight initialization). Use the panels on the right to step training, enable auto-training, change the dataset, and tweak optimization settings.