The Microsoft EdgeML contains algorithms as follow:Bonsai , ProtoNN,EMI-RNN, so on. These algorithms can train models for classical supervised learning problems with memory requirements that are orders of magnitude lower than other modern ML algorithms. The trained models can be loaded onto edge devices such as IoT devices/sensors, and used to make fast and accurate predictions completely offline.The develop team deployed Bonsai and ProtoNN on the Arduino Uno (8 bit ATmega328P microcontroller operating at 16 MHz without floating point support, 2 KB RAM and 32 KB read-only flash memory) and found that they can accurately make predictions within a few milliseconds. https://github.com/Microsoft/EdgeML/wiki,The openmv how to support it?Thanks!
We support C code… so, modify the C code?