Tensorflow Lite for Microcontrollers (TFLM) is a framework that is a subset of Tensorflow which is designed to execute machine learning models on resource constrained devices i.e. microcontrollers.
The following repository will provide anyone the ability of executing TinyML applications using TFLM on Renesas's industry leading RA family line of ARM based microcontrollers.
For every example, there will be an instruction set on how to execute the example with the given device.
Note Currently, the hello world example have been ported to the EK-RA6M4 and VUI-RA6E1 board but can also easily be ported on other RA family boards as well.
The examples provided in this repository are shown in table below.
| Board | Examples available |
|---|---|
| EK-RA6M4 | Hello world |
| VUI-RA6E1 | Hello world |