Past Recording
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Topological Deep Learning
Thursday Feb 25 2021 00:30 GMT
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Topological Deep Learning
Why This Is Interesting

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.

Discussion Points
  • How can we use the latent manifolds of image data in the structure of convolutional neural networks?
  • How are image patch data and the Klein bottle connected?
  • How can we use topology to understand the internal states of a CNN?
Time of Recording: Thursday Feb 25 2021 00:30 GMT