Topological Deep Learning

Thursday Feb 25 2021 00:30 GMT

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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.

- 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

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