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Topological Deep Learning
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Speaker: Professor Gunnar Carlsson; Discussion Facilitator: Nour Fahmy
Motivation:
How can we use the latent manifolds of image data in the structure of convolutional neural networks? Topological data analysis is a tool used to analyze the internal states of a neural network, and this paper leverages that to better analyze image and video data.
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