| |
|
EVENT DETAILS |
This is online live tech talk. You can join online using zoom (video conference tool), & watch, follow, Q&A with speakers from anywhere around the world. Miss the live session due to time zone or conflict? you can learn watch recording any time afterwards.
AI webinar: Deep Learning on Mobile Device
Start date/time: April 6th, 10am-11am PT (US pacific time, UTC-7), check your local time.
Registration:
https://learn.xnextcon.com/event/eventdetails/W20040610
(you must register at the website to receive the unique link to join the webinar).
Details:
Over the last few years, convolutional neural networks (CNN) have risen in popularity, especially in the area of computer vision. Many mobile applications running on smartphones & wearable devices would potentially benefit from the new opportunities enabled by deep learning techniques. However, CNNs are by nature computationally & memory intensive, making them challenging to deploy on a mobile device.
This talk explains how to practically bring the power of convolutional neural networks & deep learning to memory & power-constrained devices like smartphones. You will learn various strategies to circumvent obstacles & build mobile-friendly shallow CNN architectures that significantly reduce the memory footprint & 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.
RSVP: https://learn.xnextcon.com/event/eventdetails/W20040610
after register to this webinar, you will receive an unique link to join online.
|
|
|
|
|
|
