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PRODID:-//eluceo/ical//2.0/EN
VERSION:2.0
CALSCALE:GREGORIAN
BEGIN:VEVENT
UID:8148fd701aa8401bcfd63b1771229bf6
DTSTAMP:20260720T164149Z
SUMMARY:Improving the performance of Shallow Neural Networks using norm-pre
 serving regularization
DESCRIPTION:Contact: pontus.giselsson@control.lth.se\n\nTitle:&nbsp\; Impro
 ving the performance of Shallow Neural Networks using norm-preserving regu
 larizationAuthor:&nbsp\;Daniel StoopendahlDate &amp\; Time: June 8th\, 9:1
 5-10:00Location:&nbsp\;Seminar Room M 3170-73 in the M-building\, LTHSuper
 visor: Kristian SolteszExaminer:&nbsp\; Pontus GiselssonAbstract:The thesi
 s analyses a new method of regularization. It looks into performance gains
  on Shallow Neural Networks as well as why it works.\n\nMore information a
 bout the event: https://www.control.lth.se/calendar/improving-performance-
 shallow-neural-networks-using-norm-preserving-regularization
DTSTART;TZID=GMT:20260608T071500
DTEND;TZID=GMT:20260608T080000
LOCATION:Seminar Room M 3170-73 in the M-building\, LTH
END:VEVENT
END:VCALENDAR