Free Webinar Explores How to Optimize ML Model Accuracy in Resource-constrained Embedded Applications

On September 16, 2021 at 9 am PT (noon ET), Jan Jongboom, CTO and co-founder of Edge Impulse, will present the free hour webinar “Introducing the EON Tuner: Edge Impulse’s New AutoML Tool for Embedded Machine Learning,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page:

Finding the best machine learning (ML) model for analyzing sensor data isn’t easy. What pre-processing steps yield the best results, for example? And what signal processing parameters should you pick? The selection process is even more challenging when the resulting model needs to run on a microcontroller with significant latency, memory and power constraints. AutoML tools can help, but typically only look at the neural network, disregarding the important roles that pre-processing and signal processing play with tinyML.

This hands-on session will introduce the EON Tuner, a new AutoML tool available to all Edge Impulse developers. You’ll learn how to use EON Tuner to pick the optimum model within the constraints of your device, improving the accuracy of your audio, computer vision and other sensor data classification projects. The webinar will include demonstrations of the concepts discussed, and a question-and-answer session will follow the presentation.

To register for this free webinar, please see the event page. For more information, please email [email protected].

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

Contact

Address

Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

Phone
Phone: +1 (925) 954-1411
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