Deep Learning on Mobile Device

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This event is one of our weekly online AI tech talks series. You can listen, watch, Q&A with speakers from anywhere around the world. Miss the live session due to time zone or conflict? you can still sign up to watch session replay at any time:

Sign up here: https://learn.xnextcon.com/event/eventdetails/W19050810
(note the date/time on the website is US pacific time, check your local date/time).

Topic: Deep Learning on Mobile Device
This talk explains how to practically bring the power of convolutional neural networks and deep learning to memory and power-constrained devices like smartphones. You will learn various strategies to circumvent obstacles and build mobile-friendly shallow CNN architectures that significantly reduce the memory footprint and therefore make them easier to store on a smartphone;

The talk also dives into how to use a family of model compression techniques to prune the network size for live image processing, enabling you to build a CNN version optimized for inference on mobile devices. Along the way, you will learn practical strategies to preprocess your data in a manner that makes the models more efficient in the real world.

Speaker: Siddha Ganju, Architect at Nvidia

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