On: Stanford Stats 385: Theories of Deep Learning

[AlexCoventry]

I'm a bit surprised that Soatto's and Tishby's papers aren't on the reading list (https://stats385.github.io/readings). I think they have some of the most interesting theories, at the moment, about why Deep Learning works.

https://arxiv.org/abs/1706.01350

https://openreview.net/pdf?id=ry_WPG-A-

[trashtoss → AlexCoventry]

Is anyone looking into/using algebraic topology and sheaves to analyze or interpret these deep networks?