BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//https://caida.ubc.ca//NONSGML iCalcreator 2.41.92//
CALSCALE:GREGORIAN
METHOD:PUBLISH
UID:66373736-3136-4430-a264-393364633637
X-WR-RELCALID:efc09d74-9c93-479e-a94f-485231ddccde
X-WR-TIMEZONE:America/Vancouver
X-WR-CALNAME:Intuitive Understanding of Generalization in Neural Networks -
  Jimmy Ba\, Assistant Professor\, University of Toronto
BEGIN:VTIMEZONE
TZID:America/Vancouver
TZUNTIL:20221106T090000Z
BEGIN:STANDARD
TZNAME:PST
DTSTART:20191103T020000
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
RDATE:20201101T020000
RDATE:20211107T020000
END:STANDARD
BEGIN:DAYLIGHT
TZNAME:PDT
DTSTART:20200308T020000
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
RDATE:20210314T020000
RDATE:20220313T020000
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:eec1947a-72a7-4d43-8994-02b45d5829d4
DTSTAMP:20260426T062353Z
CLASS:PUBLIC
CREATED:20201013T165910Z
DESCRIPTION:Please register for this event here. Abstract: How does a large
 -scale neural network with millions of parameters generalize from only a f
 ew training examples? How does one learning algorithm generalize better th
 an another? In this talk\, I will discuss some of our recent work and try 
 to give intuitive answers to these questions. First\, I will present the i
 ntuitions about the generalization properties of two-layer neural networks
  in high-dimensions\, i.e.\, when the number of training examples\, input 
 features\, and hidden neurons tends to infinity the same rate. In the seco
 nd half of the talk\, I…
DTSTART;TZID=America/Vancouver:20201023T150000
DTEND;TZID=America/Vancouver:20201023T160000
LAST-MODIFIED:20210610T230208Z
LOCATION:Please register to receive the Zoom link
SUMMARY:Intuitive Understanding of Generalization in Neural Networks - Jimm
 y Ba\, Assistant Professor\, University of Toronto
TRANSP:OPAQUE
URL:https://caida.ubc.ca/event/intuitive-understanding-generalization-neura
 l-networks-jimmy-ba-assistant-professor
END:VEVENT
END:VCALENDAR