A full on-device vision system trains a two-layer CNN with Adam optimization and runs inference at 6.3 FPS on a $15-40 ESP32 microcontroller using 1750 lines of self-contained C++.
TinyTorch: Building Machine Learning Systems from First Prin- ciples
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On-Device Vision Training, Deployment, and Inference on a Thumb-Sized Microcontroller
A full on-device vision system trains a two-layer CNN with Adam optimization and runs inference at 6.3 FPS on a $15-40 ESP32 microcontroller using 1750 lines of self-contained C++.