Master the Deployment of Advanced ML Solutions on Embedded Devices

Logo
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.
Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (102)
Subscribers (17440)
From providing the IP for the chip to delivering the cloud services that allow organizations to securely manage the deployment of products throughout their lifecycle, Arm delivers a complete Internet of Things (IoT) solution for our partners and customers. It’s rooted in our deep understanding of the future of compute and security.