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You're reading from  TinyML Cookbook - Second Edition

Product typeBook
Published inNov 2023
PublisherPackt
ISBN-139781837637362
Edition2nd Edition
Concepts
Machine Learning
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Author (1)
Gian Marco Iodice
Gian Marco Iodice
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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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Getting started with the Zephyr OS

In this recipe, we will install the Zephyr Project, the framework that will allow us to build and run the TensorFlow application on the emulated Arm Cortex-M3 microcontroller. By the end of this recipe, we will have the environment ready on our laptop/PC to run a sample application on the virtual platform considered for our project.

Getting ready

Zephyr (https://zephyrproject.org/) is an open-source Apache 2.0 project that provides a small-footprint Real-Time Operating System (RTOS) for various hardware platforms based on multiple architectures, including Arm Cortex-M, Intel x86, ARC, Nios II, and RISC-V. The RTOS has been designed for memory-constrained devices with security in mind.

Zephyr does not provide just an RTOS, though. It also offers a Software Development Kit (SDK) with a collection of ready-to-use examples and tools to build Zephyr-based applications for a wide range of devices, including virtual platforms through QEMU.

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TinyML Cookbook - Second Edition
Published in: Nov 2023Publisher: PacktISBN-13: 9781837637362
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
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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