You're reading from TinyML Cookbook - Second Edition

Product typeBook

Published inNov 2023

PublisherPackt

ISBN-139781837637362

Edition2nd Edition

Concepts

Machine Learning

Author (1)

Gian Marco Iodice

Summary

In this opening chapter, we have presented the ingredients to build low-power ML applications on microcontrollers. Initially, we uncovered the factors that make tinyML particularly appealing (cost, energy, and privacy) and motivated our choice to use microcontrollers as target devices.

We delved into the core components of this technology, giving a quick recap of ML and providing an overview of the essential features of microcontrollers necessary for the following chapters. After introducing microcontrollers and their unique features, we presented the leading software tools and frameworks used in this book to bring ML to microcontrollers: the Arduino IDE, TensorFlow, and Edge Impulse.

Finally, we built a pre-built sketch in the Arduino IDE to blink the on-board LED on the Arduino Nano, Raspberry Pi Pico, and SparkFun Artemis Nano.

In the following chapter, we will start our practical tinyML journey by exploring how to craft microcontroller applications from the very basics.

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TinyML Cookbook - Second Edition

Published in: Nov 2023Publisher: PacktISBN-13: 9781837637362

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Author (1)

Gian Marco Iodice

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.
Read more about Gian Marco Iodice

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