Looking for your first step towards learning about smart devices and machine learning? Best to learn while making one of your own. Begin your understanding of The Tiny Machine Learning Kit, combined with the exciting TinyML Applications and Deploying TinyML on Microcontrollers which will equip you with all the tools you need to bring your ML visions to life!
In this first video of the series, we go over setting up the Arduino Nano 33 microcontroller with your Arduino IDE and installing all the required libraries.
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List of libraries to be installed:
APDS9960 - Colour sensor
HTS221 - Temperature and humidity sensor
LPS22HB - Barometer
LSM9DS1 - IMU (Accelerometer, gyroscope, magnetometer)
Adafruit PDM - Microphone
TensorFlowLite - Machine Learning applications
Chapters:
00:00 - Introduction
00:47 - Features of the Nano 33
01:40 - Kit components
02:21 - Setting up the Arduino IDE
05:40 - Programminig the Nano 33
06:22 - Outro
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