From Start to Finish: Build Industrial Embedded ML Solutions on CPUs and MCUs

Nov. 23, 2021
In this in-depth tutorial, you’ll learn how to build real-world embedded machine learning (ML) applications ranging from simple sensor configurations to powerful Linux-based computer vision applications, hands-on.

Aurelien Lequertier, Lead User Success Engineer at Edge Impulse, presents the “From Start to Finish: Build Industrial Embedded ML Solutions on CPUs and MCUs” tutorial at the May 2021 Embedded Vision Summit.

In this in-depth tutorial, you’ll learn how to build real-world embedded machine learning (ML) applications ranging from simple sensor configurations to powerful Linux-based computer vision applications, hands-on. Lequertier covers:

  • Collecting and classifying datasets
  • Designing and training high-accuracy models
  • Optimizing and testing your models
  • Integrating and shipping with your edge device

Click here for more content from the 2021 Embedded Vision Summit.

Click here for information on the 2022 Embedded Vision Summit.

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Embedded Vision Summit

May 12, 2015 - May 12, 2015

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