This is my personal repository to test test TinyML Applications in ARM Cortex-M devices.
- This branch model: Sine Wave
- Plataform used: STM32F407 | CUBE IDE
- Current status: Working!
The modeling process can be found on TinyML_Example_Model.
This is a common example that uses neural networks to figure the output of a sine wave. Training the model and the use of the Tensorflow Lite library are based on TinyML guide, STM32 specificities and building process base on Shawn Hymel guide.
Important note: The tensorflow related files are in the folder /Core/Support-files. Those are the files which describes how to setup and run the inference based on the application necessities.
Supported-files
├── Inc
│ ├── constants.h
│ ├── main_functions.h
│ ├── model.h
│ └── output_handler.h
└── Src
├── constants.cpp
├── main_functions.cpp
├── model.cpp
└── output_handler.cpp