https://www.youtube.com/watch?v=grgNXdkmzzQ in this video, your collegue describes how to implement a keras model into the STM32Cube A.I and a STM32F7. My further step:
assuming i measure further values with the same accelerometer with the pretrained NN programmed STM32F7 via I2C. Now this model is trained via Keras for different classes (sitting, jogging, running, walking etc.) . When i measure values via I2C through the pretrained Microcontroller through the model, how can i distinguish between these different classes within the microcontroller?. Because i think this pretrained NN which is into the microcontroller should recognize these classes, isnt it?.
For example i would express through a Uart-port these classes to a terminal. How should that work?