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TinyML Cookbook

You're reading from   TinyML Cookbook Combine artificial intelligence and ultra-low-power embedded devices to make the world smarter

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781801814973
Length 344 pages
Edition 1st Edition
Tools
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Author (1):
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Gian Marco Iodice Gian Marco Iodice
Author Profile Icon Gian Marco Iodice
Gian Marco Iodice
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Toc

Table of Contents (10) Chapters Close

Preface 1. Chapter 1: Getting Started with TinyML 2. Chapter 2: Prototyping with Microcontrollers FREE CHAPTER 3. Chapter 3: Building a Weather Station with TensorFlow Lite for Microcontrollers 4. Chapter 4: Voice Controlling LEDs with Edge Impulse 5. Chapter 5: Indoor Scene Classification with TensorFlow Lite for Microcontrollers and the Arduino Nano 6. Chapter 6: Building a Gesture-Based Interface for YouTube Playback 7. Chapter 7: Running a Tiny CIFAR-10 Model on a Virtual Platform with the Zephyr OS 8. Chapter 8: Toward the Next TinyML Generation with microNPU 9. Other Books You May Enjoy

Live classifications with the Arduino Nano

If you found live classification with the smartphone helpful, live classification with the Arduino Nano will be even more helpful.

This recipe will show how to pair the Arduino Nano with Edge Impulse to perform live classifications directly from our target platform.

Getting ready

Testing model performance with the sensor used in the final application is a good practice to have more confidence in the accuracy results. Thanks to Edge Impulse, it is possible to perform live classification on the Arduino Nano with a few simple steps that you can also find at the following link: https://docs.edgeimpulse.com/docs/arduino-nano-33-ble-sense.

How to do it…

Live classifications with the built-in microphone on the Arduino Nano require installing additional software on your machine. The different tools work on Linux, macOS, and Windows, and are listed here:

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