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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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