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VERSION:2.0
PRODID:Linklings LLC
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TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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TZNAME:CST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
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BEGIN:VEVENT
DTSTAMP:20260522T150131Z
LOCATION:Exhibit Hall B
DTSTART;TZID=America/Chicago:20181113T161500
DTEND;TZID=America/Chicago:20181113T170000
UID:submissions.supercomputing.org_SC18_sess226_inv105@linklings.com
SUMMARY:Applying Deep Learning
DESCRIPTION:Bryan Catanzaro (Nvidia Corporation)\n\nI will discuss how we 
 go about applying deep learning to our work at NVIDIA, solving problems in
  a variety of domains from graphics and vision to text and speech. I’ll di
 scuss the properties of successful machine learning applications, the crit
 eria that we use to choose projects, and things to watch out for while cre
 ating new deep learning applications. I’ll discuss the role of HPC in help
 ing us conduct our research, and I’ll show some examples of projects that 
 benefit from scale.\n\nRegistration Category: Tech Program Reg Pass, Exhib
 its Reg Pass\n\nSession Chair: Katherine Yelick (Lawrence Berkeley Nationa
 l Laboratory)\n\n
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