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DTSTAMP:20210128T083000Z
UID:1611672038655@events.msu.edu
CATEGORIES:Conferences / Seminars / Lectures
DTSTART:20210128T083000Z
DTEND:20210128T093000Z
SUMMARY:Math Seminar Series
DESCRIPTION:
 Zuowei Shen, National University of Singapore, 
 will be speaking.\n
 \n
 The seminar title is "Deep 
 Approximation via Deep Learning."\n
 \n
 Contact 
 Olga Turanova (turanova@msu.edu) for more 
 information.\n
 \n
 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.\n\n
 Price: free\n
 Sponsor: Department of Mathematics\n
 Sponsor's Homepage: https://www.math.msu.edu/\n
 Contact name: Department of Mathematics\n
 Contact phone: (517) 353-0844\n
 for more info visit the web at:\n 
 https://www.math.msu.edu/Seminars/CalendarView.aspx?month-of=September2016\n
LOCATION:Online via Zoom
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