In case you were wondering, TensorFlow Lite works pretty much out of the box on the MXChip IoT Devkit! This makes for a great entry point to start diving into what machine learning at the edge (a.k.a. TinyML) can enable in terms of new scenarios: gesture recognition, predictive maintenance based on e.g. vibration information, etc.
You can learn more in my latest blog post here: https://blog.benjamin-cabe.com/2020/04/27/how-to-run-tensorflow-lite-on-the-mxchip-az3166-iot-devkit
Accompanying video demo/tutorial:
