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PRODID:IEEE vTools.Events//EN
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TZID:US/Eastern
BEGIN:DAYLIGHT
DTSTART:20220313T030000
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
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BEGIN:STANDARD
DTSTART:20221106T010000
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
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BEGIN:VEVENT
DTSTAMP:20220324T014601Z
UID:F8DB02F5-1AAD-4D6D-9B10-FC21AB63995A
DTSTART;TZID=US/Eastern:20220323T200000
DTEND;TZID=US/Eastern:20220323T210000
DESCRIPTION:In our previous workshops\, we have implemented our own simple 
 convolutional neural network and also have implemented it by utilizing the
  TensorFlow library. In this workshop\, however\, no coding would be done\
 , but we would learn the history of CNN and learn the step-by-step process
  from input to output and analyze each layer.\n\nAlbany\, New York\, Unite
 d States\, 12222\, Virtual: https://events.vtools.ieee.org/m/309290
LOCATION:Albany\, New York\, United States\, 12222\, Virtual: https://event
 s.vtools.ieee.org/m/309290
ORGANIZER:ieee@albany.edu
SEQUENCE:2
SUMMARY:Convolutional Neural Network: History &amp; Explained
URL;VALUE=URI:https://events.vtools.ieee.org/m/309290
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;In our previous workshops\, we have implem
 ented our own simple convolutional neural network and also have implemente
 d it by utilizing the TensorFlow library. In this workshop\, however\, no 
 coding would be done\, but we would learn the history of CNN and learn the
  step-by-step process from input to output and analyze each layer.&lt;/p&gt;
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