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Complexity of neural networks

SEMINARS: MATHEMATICAL PICTURE LANGUAGE

When: January 19, 2021
10:00 am - 11:00 am
Where: Virtually
Speaker: Kaifeng Bu - Harvard University and Tsinghua University

One of the central problems in the study of deep learning theory is to understand complexity of the neural networks. In this talk, we will introduce the topological entropy from dynamic system as a measure of complexity of neural networks. We will also discuss the depth-width trade-offs of neural networks via topological entropy.

Zoom: https://harvard.zoom.us/j/779283357?pwd=MitXVm1pYUlJVzZqT3lwV2pCT1ZUQT09