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.
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.
Level
Intermediate
Required Hardware
Thunderboard Sense 2 Sensor-to-Cloud Advanced IoT Kit (SLTB004A)
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