프로젝트 참고 TinyML Application Development for Everyone

 

출처는 깃 허브 사이트  https://github.com/don/tinyml-workshop

 

 

TinyML Application Development for Everyone

 

Hands-on workshop at AIoT Devfest January 2020

In this workshop we will teach an Arduino board to recognize gestures! We will capture motion data from the Arduino Nano 33 BLE board1, import it into TensorFlow to train a model, and deploy a classifier onto the board using TensorFlow Lite for microcontrollers.

The hardware for this workshop has been provided by Arduino

Exercises

• Introduction

• Exercise 1: Development Environment

• Exercise 2: Source Code

• Exercise 3: Hardware

• Exercise 4: Visualizing the IMU Data

• Exercise 5: Gather the Training Data

• Exercise 6: Machine Learning

• Exercise 7: Classifying IMU Data

• Exercise 8: Emojis

• Exercise 9: Gesture Controlled USB Emoji Keyboard

• Exercise 10: Next Steps

This workshop material was developed by Sandeep Mistry and Don Coleman.

 

Previous versions

• https://github.com/sandeepmistry/aimldevfest-workshop-2019

• https://github.com/arduino/AIoT-Dev-Summit-2019

1: You can also use the Arduino Nano 33 BLE Sense for this workshop.