AMB21/22/23 TensorFlow Lite - Magic Wand

This project demonstrated how to apply a simple machine learning model trained via Google Tensor Flow, and transfer it to AMB21/22/23 board

Splendide_Mendax

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Description

This project demos how TFL Hello World Example works with Realtek AMB21/22/23 EVB.
This Hello World Example is meant to train a simple light-weighed Neural Network for microcontrollers, using the Google TensorFlow training platform.

Details

Please check the detailed information in the "INSTRUCTIONS" section below.

Components

1 × AmebaD [ AMB23 / AMB21 / AMB22 ]
1 × Adafruit LSM9DS1 accelerometer
2 × LED Fiber Optics / Emitters

Build Instructions

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1

AMB21 / AMB22 Wiring Diagram

Connect the accelerometer and LEDs to the RTL8722 board following the diagram.
2

AMB23 Wiring Diagram

For RTL8722DM MINI, we will use the onboard LEDs on the board itself.
3
Firmware & Libraries Preparation
1. Download the Ameba customized version of TensorFlow Lite for Microcontrollers library at https://github.com/ambiot/ambd_arduino/tree/master/Arduino_zip_libraries.
2. Follow the instructions at https://www.arduino.cc/en/guide/libraries to install it.
3. Ensure that the patch files found at https://github.com/ambiot/ambd_arduino/tree/master/Ameba_misc/ are also installed.