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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

Building and running the model on Ethos-U55

Here we are. Just this recipe keeps us from completing this book. All the tools are installed, and the TFLite model is converted to C code, so where does that leave us? We still need to build an application to recognize images with the CIFAR-10 model. Once the application is ready, we need to compile it and run it on Corstone-300 FVP.

Although it seems there is still a lot to do, in this recipe, we will modify a prebuilt sample for the Ethos-U microNPU to simplify all the remaining technicalities.

In this recipe, we will show you how to modify the Ethos-U example available in TVM to run the CIFAR-10 inference. The application will then be compiled with the Makefile and Linker scripts provided in the prebuilt sample and finally executed on Corstone-300 FVP.

The following Bash script contains the commands referred to in this recipe:

  • build_and_run.sh:

https://github.com/PacktPublishing/TinyML-Cookbook/blob/main/Chapter08...

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