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DTSTART;TZID=Africa/Casablanca:20260414T200000
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DESCRIPTION:As part of TechCamp 3.0\, IEEE CIS ENIS Student Chapter success
 fully organized the second session entitled "Deep Learning & Computer Visi
 on"\, presented by Mr. Bilel Kamel\, Data Scientist and AI/Machine Learnin
 g enthusiast.\n\nDuring this session\, participants were introduced to the
  fundamentals of modern Artificial Intelligence and Computer Vision. The s
 ession covered the principles of Artificial Neural Networks (ANN) and Conv
 olutional Neural Networks (CNN)\, the workflow of deep learning models fro
 m inputs to predictions\, and the core concepts of computer vision.\n\nPar
 ticipants also explored the evolution of computer vision architectures and
  discovered practical applications through hands-on examples of image clas
 sification and object detection. The session provided both theoretical ins
 ights and practical demonstrations\, enabling attendees to gain a solid fo
 undation in Deep Learning and Computer Vision and understand their real-wo
 rld applications.\n\n[]\n\nVirtual: https://events.vtools.ieee.org/m/56445
 6
LOCATION:Virtual: https://events.vtools.ieee.org/m/564456
ORGANIZER:yasmin.affes2@gmail.com
SEQUENCE:49
SUMMARY:TechCamp 3.0 – Session 2: Deep Learning & Computer Vision
URL;VALUE=URI:https://events.vtools.ieee.org/m/564456
X-ALT-DESC:Description: <br /><table style="border-collapse: collapse\; wid
 th: 100.032%\;" border="1"><colgroup><col style="width: 99.9893%\;"></colg
 roup>\n<tbody>\n<tr>\n<td>\n<p data-start="120" data-end="348">As part of 
 <strong data-start="131" data-end="147">TechCamp 3.0</strong>\, IEEE CIS E
 NIS Student Chapter successfully organized the second session entitled&nbs
 p\;<strong data-start="225" data-end="262">"Deep Learning &amp\; Computer 
 Vision"</strong>\, presented by <strong data-start="277" data-end="296">Mr
 . Bilel Kamel</strong>\, Data Scientist and AI/Machine Learning enthusiast
 .</p>\n<p data-start="350" data-end="701">During this session\, participan
 ts were introduced to the fundamentals of modern Artificial Intelligence a
 nd Computer Vision. The session covered the principles of <strong data-sta
 rt="513" data-end="549">Artificial Neural Networks (ANN)</strong> and <str
 ong data-start="554" data-end="593">Convolutional Neural Networks (CNN)</s
 trong>\, the workflow of deep learning models from inputs to predictions\,
  and the core concepts of computer vision.</p>\n<p data-start="703" data-e
 nd="1100">Participants also explored the evolution of computer vision arch
 itectures and discovered practical applications through hands-on examples 
 of <strong data-start="844" data-end="868">image classification</strong> a
 nd <strong data-start="873" data-end="893">object detection</strong>. The 
 session provided both theoretical insights and practical demonstrations\, 
 enabling attendees to gain a solid foundation in Deep Learning and Compute
 r Vision and understand their real-world applications.</p>\n<p style="text
 -align: center\;" data-start="703" data-end="1100"><img src="https://event
 s.vtools.ieee.org/vtools_ui/media/display/21483e99-e1f7-454f-88f0-4d20c6f2
 ead4" alt="" width="842" height="415"></p>\n</td>\n</tr>\n</tbody>\n</tabl
 e>\n<p>&nbsp\;</p>
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