Training MNIST with Burn on wgpu: From PyTorch to Rust Backend
This tutorial demonstrates how to train a MNIST digit‑recognition model using the Rust‑based Burn framework on top of the cross‑platform wgpu API, covering model export from PyTorch to ONNX, code generation, data loading, training loops, and performance comparison across CPU, GPU, and other backends.