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TinyML Cookbook - Second Edition

You're reading from  TinyML Cookbook - Second Edition

Product type Book
Published in Nov 2023
Publisher Packt
ISBN-13 9781837637362
Pages 664 pages
Edition 2nd Edition
Languages
Concepts
Author (1):
Gian Marco Iodice Gian Marco Iodice
Profile icon Gian Marco Iodice
LinkedIn
Gian Marco Iodice is team and tech lead in the Machine Learning Group at Arm, who co-created the Arm Compute Library in 2017. The Arm Compute Library is currently the most performant library for ML on Arm, and it's deployed on billions of devices worldwide – from servers to smartphones. Gian Marco holds an MSc degree, with honors, in electronic engineering from the University of Pisa (Italy) and has several years of experience developing ML and computer vision algorithms on edge devices. Now, he's leading the ML performance optimization on Arm Mali GPUs. In 2020, Gian Marco cofounded the TinyML UK meetup group to encourage knowledge-sharing, educate, and inspire the next generation of ML developers on tiny and power-efficient devices.
See other products by Gian Marco Iodice

Table of Contents (16) Chapters

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

Getting familiar with Arduino CLI

In this first recipe, we will install Arduino CLI on our local machine, to be ready to compile and run the code generated by TVM on any Arduino-compatible microcontroller. This step is essential to learn how to use this tool to create sketches for Arduino Nano and Raspberry Pi Pico.

Getting ready

Arduino CLI (https://arduino.github.io/arduino-cli) is a software package that exposes almost all functionalities bundled in the Arduino IDE into a CLI tool. Therefore, using shell commands, you can use Arduino CLI to create new sketches, download libraries, compile and upload programs on Arduino-compatible microcontrollers, and much more!

Arduino CLI is also available as a Python package (pyduinocli), a wrapper library around Arduino CLI. You can discover more about the Python Arduino CLI at the following link: https://pypi.org/project/pyduinocli/.

To install Arduino CLI, you can follow the instructions reported at the following...

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Authors (1)

Profile icon Gian Marco Iodice
LinkedIn
Gian Marco Iodice is team and tech lead in the Machine Learning Group at Arm, who co-created the Arm Compute Library in 2017. The Arm Compute Library is currently the most performant library for ML on Arm, and it's deployed on billions of devices worldwide – from servers to smartphones. Gian Marco holds an MSc degree, with honors, in electronic engineering from the University of Pisa (Italy) and has several years of experience developing ML and computer vision algorithms on edge devices. Now, he's leading the ML performance optimization on Arm Mali GPUs. In 2020, Gian Marco cofounded the TinyML UK meetup group to encourage knowledge-sharing, educate, and inspire the next generation of ML developers on tiny and power-efficient devices.
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See other products by Gian Marco Iodice

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