Thursday, January 28, 2021
3:30am
to
4:30am
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Math Seminar Series
(Conferences / Seminars / Lectures)
Zuowei Shen, National University of Singapore, will be speaking.
The seminar title is "Deep Approximation via Deep Learning."
Contact Olga Turanova (turanova@msu.edu) for more information.
The primary task of many applications is approximating/estimating a function through samples drawn from a probability distribution on the input space. The deep approximation is to approximate a function by compositions of many layers of simple functions, that can be viewed as a series of nested feature extractors. The key idea of deep learning network is to convert layers of compositions to layers of tuneable parameters that can be adjusted through a learning process, so that it achieves a good approximation with respect to the input data. In this talk, we shall discuss mathematical theory behind this new approach and approximation rate of deep network; how this new approach differs from the classic approximation theory, and how this new theory can be used to understand and design deep learning network. more information...
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(517) 353-0844
