BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20241011T071613Z
UID:450FEC60-DF10-49F9-BF71-1EAE80CAD9D3
DTSTART;TZID=Asia/Kolkata:20241009T093000
DTEND;TZID=Asia/Kolkata:20241009T160000
DESCRIPTION:A one-day national-level workshop titled &quot;Deep Learning Models 
 for Image Processing&quot; was conducted on October 9\, 2024\, from 9:30 AM to 
 4:00 PM at Karpagam College of Engineering. The workshop was led by Dr. G.
  Saravanakumar\, a professor in the Department of Electronics and Communic
 ation Engineering. The session aimed to provide an in-depth understanding 
 of how deep learning models can be applied to solve complex image processi
 ng problems.\n\nParticipants were introduced to key concepts of deep learn
 ing\, neural networks\, and their practical implementation in image recogn
 ition\, classification\, and enhancement tasks. The workshop included hand
 s-on training sessions where attendees worked with real-world datasets to 
 develop and test their own models.\n\nAgenda: \n9:30 AM - 9:40 AM:\n\nWelc
 ome Address by Dr. G. Arun Francis\n\n9:40 AM - 9:45 AM:\n\nIntroduction o
 f Resource Person by Ms. T. Happila\n\n9:45 AM - 12:30 PM:\n\nSession 1: I
 ntroduction to Deep Learning and Neural Networks\n\nConcepts of deep learn
 ing models and their applications in image processing\n\nHands-on demonstr
 ation and examples\n\n12:30 PM - 1:30 PM:\n\nLunch Break\n\n1:30 PM - 3:30
  PM:\n\nSession 2: Advanced Techniques and Practical Implementations\n\nHa
 nds-on workshop using real-world datasets for image classification and rec
 ognition\n\nModel development and testing\n\n3:30 PM - 3:55 PM:\n\nQ&amp;A Ses
 sion and Discussion\n\n3:55 PM - 4:00 PM:\n\nVote of Thanks by Ms. T. Happ
 ila\n\nRoom: EMBEDDED PROJECT LABORATORY \, Bldg: E - Block \, Karpagam Co
 llege Of Engineering \, Coimbatore \, Tamil Nadu\, India\, 641 032
LOCATION:Room: EMBEDDED PROJECT LABORATORY \, Bldg: E - Block \, Karpagam C
 ollege Of Engineering \, Coimbatore \, Tamil Nadu\, India\, 641 032
ORGANIZER:kcesbieee@kce.ac.in
SEQUENCE:22
SUMMARY:IEEE Day Celebration : One-Day National Level Workshop on Deep Lear
 ning Models for Image Processing
URL;VALUE=URI:https://events.vtools.ieee.org/m/439081
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;A one-day national-level workshop titled &quot;
 Deep Learning Models for Image Processing&quot; was conducted on October 9\, 20
 24\, from 9:30 AM to 4:00 PM at Karpagam College of Engineering. The works
 hop was led by Dr. G. Saravanakumar\, a professor in the Department of Ele
 ctronics and Communication Engineering. The session aimed to provide an in
 -depth understanding of how deep learning models can be applied to solve c
 omplex image processing problems.&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;Participants wer
 e introduced to key concepts of deep learning\, neural networks\, and thei
 r practical implementation in image recognition\, classification\, and enh
 ancement tasks. The workshop included hands-on training sessions where att
 endees worked with real-world datasets to develop and test their own model
 s.&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;9:30 AM - 9:40 AM:&lt;/p&gt;\n&lt;p&gt;Welcome Addr
 ess by Dr. G. Arun Francis&lt;/p&gt;\n&lt;p&gt;9:40 AM - 9:45 AM:&lt;/p&gt;\n&lt;p&gt;Introduction
  of Resource Person by Ms. T. Happila&lt;/p&gt;\n&lt;p&gt;9:45 AM - 12:30 PM:&lt;/p&gt;\n&lt;p&gt;
 Session 1: Introduction to Deep Learning and Neural Networks&lt;/p&gt;\n&lt;p&gt;Conce
 pts of deep learning models and their applications in image processing&lt;/p&gt;
 \n&lt;p&gt;Hands-on demonstration and examples&lt;/p&gt;\n&lt;p&gt;12:30 PM - 1:30 PM:&lt;/p&gt;\n
 &lt;p&gt;Lunch Break&lt;/p&gt;\n&lt;p&gt;1:30 PM - 3:30 PM:&lt;/p&gt;\n&lt;p&gt;Session 2: Advanced Tech
 niques and Practical Implementations&lt;/p&gt;\n&lt;p&gt;Hands-on workshop using real-
 world datasets for image classification and recognition&lt;/p&gt;\n&lt;p&gt;Model deve
 lopment and testing&lt;/p&gt;\n&lt;p&gt;3:30 PM - 3:55 PM:&lt;/p&gt;\n&lt;p&gt;Q&amp;amp\;A Session an
 d Discussion&lt;/p&gt;\n&lt;p&gt;3:55 PM - 4:00 PM:&lt;/p&gt;\n&lt;p&gt;Vote of Thanks by Ms. T. H
 appila&lt;/p&gt;
END:VEVENT
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