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Convolutional Neural Networks for Image Analysis


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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.

Please register if you would like to join; we will send instructions about the virtual session to all registrants in advance.


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Status Archived
Date Wednesday, April 1st, 2020
Time 4:30pm - 6:30pm
Location Virtual Classroom
Leader Timothy Dunn
Enrolled 82