Speaker: BU Kaifeng, Postdoctoral Fellow, Department of Physics, Harvard University
Venue: Room 200-9, Run Run Shaw Business Administration Building, Yuquan Campus
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.
Contact: LIU Weihua(email@example.com)