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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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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

Reading serial data and uploading files to Google Drive with Python

When developing tinyML projects, our microcontrollers can use serial communication to transfer data of any type to our computer.

In this recipe, we will showcase how to develop a local Python script to retrieve the transmitted data from the PC’s serial port. The program will record one minute of data transmission to a file, which will be uploaded to Google Drive.

Getting ready

Throughout the book, the microcontroller will use serial communication for various scopes, such as:

  • Tracking events when the program runs
  • Debugging sensor functionalities
  • Gathering relevant data for building the dataset used to train and test an ML model

The last point will likely be the most enjoyable. For instance, you will use the microphone to record your vocals or musical recordings and a camera to snap pictures. However, unlike our standard computers or laptops, which have an operating...

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