Master the Deployment of Advanced ML Solutions on Embedded Devices

Presented by

Andrew Caples & Sebastien Taylor, Au-Zone

About this talk

AI on Arm Partner Webinar Au-Zone Technologies and Arm IP Optimize Run Time for Embedded Devices Do you want to learn how to create and optimize on-target runtime performance of advanced ML solutions for challenging vision applications on edge devices? See how Au-Zone, a leading embedded solutions provider, and its DeepView ML Toolkit enable developers to do this across a broad spectrum of Arm IP. In this webinar, we’ll: Walk through the challenges and solutions for deploying ML solutions for embedded devices Explain what the DeepView ML Development Environment is Discuss Vision/ ML use cases across the spectrum of Arm cores Introduce DeepView for Raspberry Pl, and what can you do with it Demo ML examples on Raspberry Pl As a bonus for attending, attendees will have an opportunity to receive a trial version of DeepView ML Toolkit for Pi 3+/Pi 4.
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