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?