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A walkthrough of deploying a PyTorch CNN to a microcontroller using ExecuTorch and the Arm Corstone-320 Fixed Virtual Platform. The demo trains a compact Rock-Paper-Scissors classifier on synthetic 28×28 images, exports it to the `.pte` format via ExecuTorch, applies quantization and graph optimization, and runs inference on a simulated Arm Cortex-M + Ethos-U NPU — no physical hardware required. Code snippets cover model definition, training, and export steps, with links to a full learning path on learn.arm.com.

Deploying PyTorch Models to the Micro-Edge with ExecuTorch and Arm – PyTorch