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TinyML Cookbook

You're reading from   TinyML Cookbook Combine artificial intelligence and ultra-low-power embedded devices to make the world smarter

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Product type Paperback
Published in Apr 2022
Publisher Packt
ISBN-13 9781801814973
Length 344 pages
Edition 1st Edition
Tools
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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 (10) Chapters Close

Preface 1. Chapter 1: Getting Started with TinyML 2. Chapter 2: Prototyping with Microcontrollers FREE CHAPTER 3. Chapter 3: Building a Weather Station with TensorFlow Lite for Microcontrollers 4. Chapter 4: Voice Controlling LEDs with Edge Impulse 5. Chapter 5: Indoor Scene Classification with TensorFlow Lite for Microcontrollers and the Arduino Nano 6. Chapter 6: Building a Gesture-Based Interface for YouTube Playback 7. Chapter 7: Running a Tiny CIFAR-10 Model on a Virtual Platform with the Zephyr OS 8. Chapter 8: Toward the Next TinyML Generation with microNPU 9. Other Books You May Enjoy

Setting up Arm Corstone-300 FVP

Arm Ethos-U55 is the first microNPU designed by Arm to extend the ML capabilities of Cortex-M-based microcontrollers. Unfortunately, there is no hardware availability with this new processor at the time of writing. However, Arm offers a free Fixed Virtual Platform (FVP) based on the Arm Corstone-300 system to quickly experiment with ML models on this processor without the need for physical devices.

In this recipe, we will give more details on the computational capabilities of the Arm Ethos-U55 microNPU and install the Corstone-300 FVP.

Getting ready

Let's start this first recipe by introducing Corstone-300 FVP and Ethos-U55 microNPU.

Corstone-300 FVP (https://developer.arm.com/tools-and-software/open-source-software/arm-platforms-software/arm-ecosystem-fvps) is a virtual platform based on an Arm Cortex-M55 CPU and Ethos-U55 microNPU.

Arm Ethos-U55 (https://www.arm.com/products/silicon-ip-cpu/ethos/ethos-u55) is a processor for ML...

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