BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Canada/Atlantic
BEGIN:DAYLIGHT
DTSTART:20210314T030000
TZOFFSETFROM:-0400
TZOFFSETTO:-0300
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:ADT
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20211107T010000
TZOFFSETFROM:-0300
TZOFFSETTO:-0400
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:AST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20210824T150220Z
UID:6843DE4C-AC20-40B3-88FF-84D22F78A394
DTSTART;TZID=Canada/Atlantic:20210804T110000
DTEND;TZID=Canada/Atlantic:20210804T130000
DESCRIPTION:In this session\, we are going to cover the theoretical backgro
 und of INN\, how it works\, and a hands-on session with Python and Google 
 Colab.\n\nAgenda: \n▸Introduction\n▸Neural Networks: A Motivation (5 M
 in)\n▸Theoretical Background (5 Min)\n▸Invertible Neural Networks (INN
 ) (10 Min)\n▸Applications of INN (5 Min)\n▸Break (5 Min)\n▸Hands-on 
 Session With Python (60 Min)\n\nMontreal\, Quebec\, Canada
LOCATION:Montreal\, Quebec\, Canada
ORGANIZER:christian.miranda-moreira.1@ens.etsmtl.ca
SEQUENCE:5
SUMMARY:Hands on Invertible Neural Networks 
URL;VALUE=URI:https://events.vtools.ieee.org/m/276887
X-ALT-DESC:Description: <br /><div>In this session\, we are going to cover 
 the theoretical background of INN\, how it works\, and a hands-on session 
 with Python and Google Colab.</div><br /><br />Agenda: <br /><div>▸Intro
 duction</div>\n<div>▸Neural Networks: A Motivation &nbsp\; &nbsp\; &nbsp
 \; (5&nbsp\; Min)</div>\n<div>▸Theoretical Background&nbsp\; (5&nbsp\; M
 in)</div>\n<div>▸Invertible Neural Networks (INN)&nbsp\; (10 Min)</div>\
 n<div>▸Applications of INN&nbsp\; (5&nbsp\; Min)</div>\n<div>▸Break &n
 bsp\; (5&nbsp\; Min)</div>\n<div>▸Hands-on Session With Python&nbsp\; (6
 0 Min)</div>
END:VEVENT
END:VCALENDAR