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The Insider's Guide to Arm Cortex-M Development

You're reading from   The Insider's Guide to Arm Cortex-M Development Leverage embedded software development tools and examples to become an efficient Cortex-M developer

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Product type Paperback
Published in Oct 2022
Publisher Packt
ISBN-13 9781803231112
Length 276 pages
Edition 1st Edition
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Authors (3):
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Jason Andrews Jason Andrews
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Jason Andrews
Pareena Verma Pareena Verma
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Pareena Verma
Zachary Lusiak Zachary Lusiak
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Zachary Lusiak
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Toc

Table of Contents (15) Chapters Close

Preface 1. Part 1: Get Set Up
2. Chapter 1: Selecting the Right Hardware FREE CHAPTER 3. Chapter 2: Selecting the Right Software 4. Chapter 3: Selecting the Right Tools 5. Part 2: Sharpen Your Skills
6. Chapter 4: Booting to Main 7. Chapter 5: Optimizing Performance 8. Chapter 6: Leveraging Machine Learning 9. Chapter 7: Enforcing Security 10. Chapter 8: Streamlining with the Cloud 11. Chapter 9: Implementing Continuous Integration 12. Chapter 10: Looking Ahead 13. Index 14. Other Books You May Enjoy

Exploring ML use cases

ML is rapidly evolving to more use cases such as fraud detection, personalized targeted marketing, and self-driving cars, to name a few. Currently, the most popular applications for ML in the embedded space can be grouped into three areas: vibration, vision, and voice. These categories were briefly discussed in Chapter 1, Selecting the Right Hardware, with the current chapter focusing on running examples in each of these areas. Vibration typically is the most straightforward and is therefore a good starting point to begin exploring. After familiarizing ourselves with the vibration example, we provide more details on the construction of the ML software stack in the vision and voice examples that follow. The three use cases are presented here:

  • Anomaly detection using the Cortex-M55
  • Image classification using the Cortex-M55 and Ethos-U55
  • Micro speech using the Cortex-M55 and Ethos-U55

Anomaly detection – vibration

To replicate the...

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