This webinar will enable you to build an end-to-end tinyML application using the latest best practices in embedded machine learning. You will learn how to collect a dataset, design and train a small (but accurate) model, evaluate its performance, optimize it for embedded use, and integrate it into a real embedded application running on a genuine MCU. You will leave the session feeling confident that you can solve real world problems using state of the art tinyML — and have fun while you are doing it!
The presentation will include a demo using the Thunderboard Sense 2 (EFR32MG12), followed by a live Q&A. We will also be giving away a limited number of boards for asking the best questions!