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

Machine Learning

Author (1):

Gian Marco Iodice

Table of Contents (16) Chapters

Preface

1. Getting Ready to Unlock ML on Microcontrollers

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

Installing the software dependencies to build an application for the Arm Ethos-U microNPU

The code generated by TVM for Arm Ethos-U55 cannot be compiled with Arduino CLI, as the target device is not an Arduino-based platform. Therefore, this recipe will guide you in preparing the required dependencies to build the application for the Arm Corstone-300 platform.

Getting ready

To build the code generated by TVM for Corstone-300, the following components are required:

A compiler to produce the application binary for the Arm Cortex-M55 CPU
The Ethos-U driver, which is the driver to offload the computation from the Arm Cortex-M CPU to the Arm Ethos-U55
The Ethos-U platform, which provides a basic driver for the device peripherals, such as the UART and Timer
The CMSIS library, which provides a collection of optimized ML and digital signal processing (DSP) functions