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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.

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

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Status	Archived
Date	Wednesday, February 24th, 2021
Time	4:30pm - 5:30pm
Location	Virtual Classroom
Leader	Timothy Dunn
Enrolled	68