Topological Deep Learning

For slides and more information on the paper, visit 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.