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.

Moderators

Paul Daigle

Industrial Automation Product Manager
Silicon Labs

Manasa Rao

Senior Applications Engineer
Silicon Labs

Speaker

Jan Jongboom

CTO
Edge Impulse

Duration

1 Hour, 45 Minutes
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