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Convolutional Neural Networks for Image Analysis

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Description

The convolutional neural network (CNN) represents the current state-of-the-art for image and video analysis, and is increasingly used for analyzing time series and other data with spatial or sequential
structure. This session will provide an intuitive introduction to the fundamentals of CNNs, with an emphasis on hierarchical feature extraction and the convolution operation itself. Model training and transfer
learning will also be discussed.

Please register at least 15 minutes prior to the start of the session to allow time for the system to generate a personalized e-mail with the access link.

If you are not a member of the Duke community, you can register directly through Zoom here: https://duke.zoom.us/webinar/register/WN_kjb6AOdUSe6eh26tXjae_w


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Details

Status Archived
Date Tuesday, September 21st, 2021
Time 12:00pm - 1:00pm
Location Virtual Classroom
Leader Timothy Dunn
Enrolled 18

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