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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.

Before the session, all registrants will receive an e-mail with a link and meeting information.


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Details

Status Archived
Date Tuesday, September 22nd, 2020
Time 4:30pm - 6:00pm
Location Virtual Classroom
Leader Timothy Dunn
Enrolled 85

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