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TinyML Cookbook

You're reading from   TinyML Cookbook Combine machine learning with microcontrollers to solve real-world problems

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Product type Paperback
Published in Nov 2023
Publisher Packt
ISBN-13 9781837637362
Length 664 pages
Edition 2nd Edition
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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 (16) Chapters Close

Preface 1. Getting Ready to Unlock ML on Microcontrollers FREE CHAPTER 2. Unleashing Your Creativity with Microcontrollers 3. Building a Weather Station with TensorFlow Lite for Microcontrollers 4. Using Edge Impulse and the Arduino Nano to Control LEDs with Voice Commands 5. Recognizing Music Genres with TensorFlow and the Raspberry Pi Pico – Part 1 6. Recognizing Music Genres with TensorFlow and the Raspberry Pi Pico – Part 2 7. Detecting Objects with Edge Impulse Using FOMO on the Raspberry Pi Pico 8. Classifying Desk Objects with TensorFlow and the Arduino Nano 9. Building a Gesture-Based Interface for YouTube Playback with Edge Impulse and the Raspberry Pi Pico 10. Deploying a CIFAR-10 Model for Memory-Constrained Devices with the Zephyr OS on QEMU 11. Running ML Models on Arduino and the Arm Ethos-U55 microNPU Using Apache TVM 12. Enabling Compelling tinyML Solutions with On-Device Learning and scikit-learn on the Arduino Nano and Raspberry Pi Pico 13. Conclusion
14. Other Books You May Enjoy
15. Index

Recognizing Music Genres with TensorFlow and the Raspberry Pi Pico – Part 1

The project we will develop together holds a special place in my heart because it brings back memories of my first programming experience on an Arm Cortex-M microcontroller.

Back in my university days, portable MP3 audio players were definitely one of the coolest things to have. I was fascinated by this technology that allowed me to carry thousands of high-quality songs in my pocket to enjoy anywhere. As a technology and music enthusiast, I wanted to learn more about it. Therefore, I undertook the challenge of building an audio player from scratch using a microcontroller and a touch screen (https://youtu.be/LXm6-LuMmUU).

Completing that project was fun and gave me valuable hands-on experience. One feature I hoped to include was a machine learning (ML) algorithm for recognizing the music genre to auto-equalize the sound and get the best listening experience.

However, deep learning (DL) was...

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