Video Material

EML-302: Industrial Predictive Maintenance with Embedded Machine Learning

This material is 3 of 3 in the Works With 2021: TinyML and Edge Machine Learning.

Explore the fundamentals of Edge Machine Learning, the benefits and steps needed to build a complete tinyML application.

Overview

In this course, you will build a full tinyML application, end-to-end, using the latest best practices in embedded machine learning (ML). You will learn how to collect data, create a dataset, design and train a tiny (but accurate) model, evaluate its performance, optimize it for embedded use, and integrate it into an embedded application running on a genuine MCU.

0:00 / 106:29

Level

Intermediate

Suggested Kit

EFR32xG24 Dev Kit (xG24-DK2601B)

Moderators

Silabs paul daigle ww 2021

Paul Daigle

Industrial Automation Product Manager
Silicon Labs

Silabs mansa rao ww 2021

Manasa Rao

Senior Applications Engineer
Silicon Labs

Speaker

Edge impulse jan jongboom ww 2021

Jan Jongboom

CTO
Edge Impulse

Duration

1 Hour, 45 Minutes
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