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PRODID:IEEE vTools.Events//EN
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TZID:Africa/Algiers
BEGIN:STANDARD
DTSTART:19810501T010000
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:CET
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BEGIN:VEVENT
DTSTAMP:20240502T193611Z
UID:60228261-698D-468E-BAA8-1E22E32F8D3F
DTSTART;TZID=Africa/Algiers:20240417T200000
DTEND;TZID=Africa/Algiers:20240428T000000
DESCRIPTION:Event Overview: The three-day bootcamp\, organized by the outst
 anding Women in Engineering (WIE) SUP&#39;COM AG and Geoscience and Remote Sen
 sing Society (GRSS) SUP&#39;COM Chapter\, unfolded from April 17th to April 19
 th. The event featured workshops aimed at empowering participants with val
 uable insights into Convolutional Neural Networks (CNNs)\, transfer learni
 ng techniques\, and real-world Computer Vision (CV) applications. Led by t
 he esteemed Imen Masmoudi\, each workshop provided a deep dive into the in
 tricacies of modern machine learning approaches.\n\nWorkshops Schedule:\n\
 n-\nWorkshop 1: &quot;Building a CNN Model from Scratch&quot;\n\n- Date: April 17th\
 , 8:00 PM\n- Format: Online session\n- Description: Participants delved in
 to the fundamentals of CNNs\, learning to construct models from the ground
  up. Imen Masmoudi expertly guided attendees through the process\, offerin
 g insights and practical tips for effective implementation.\n\n-\nWorkshop
  2: &quot;Transfer Learning: Using Pre-Trained Models&quot;\n\n- Date: April 18th\, 
 8:00 PM\n- Format: Online session\n- Description: Imen Masmoudi led a comp
 rehensive exploration of transfer learning techniques\, showcasing how pre
 -trained models can be leveraged to enhance efficiency and performance in 
 various machine learning tasks. Participants gained hands-on experience in
  applying these strategies to their own projects.\n\n-\nWorkshop 3: &quot;CV Ap
 plications and Use Cases&quot;\n\n- Date: April 19th\, 8:00 PM\n- Format: Onlin
 e session\n- Description: In this session\, Imen Masmoudi elucidated the d
 iverse applications of computer vision\, illustrating real-world use cases
  across industries. Participants gained valuable insights into the practic
 al implications of CV technology\, sparking inspiration for future project
 s and endeavors.\n\nInternal Competition: Following the bootcamp\, a one-w
 eek internal competition commenced on April 22nd\, fostering a dynamic env
 ironment for participants to apply their newly acquired knowledge and insi
 ghts. Running until April 28th at midnight\, this competition encouraged p
 articipants to demonstrate their proficiency in machine learning and CV th
 rough practical challenges and projects.\n\nConclusion: The 3-day bootcamp
 \, organized by the magnificent WIE SUP&#39;COM AG and GRSS SUP&#39;COM Chapter\, 
 and enriched by Imen Masmoudi&#39;s expertise\, proved to be a transformative 
 learning experience for participants. It equipped them with valuable skill
 s and knowledge in CNNs\, transfer learning\, and CV applications. The sub
 sequent internal competition provided a platform for participants to showc
 ase their abilities and creativity\, further reinforcing the collaborative
  and innovative spirit of the WIE and GRSS communities at SUP&#39;COM.\n\nThis
  event not only contributed to the professional development of participant
 s but also strengthened the community within SUP&#39;COM\, fostering a culture
  of continuous learning and growth in the field of artificial intelligence
  and machine learning.\n\n[]\n\nVirtual: https://events.vtools.ieee.org/m/
 419039
LOCATION:Virtual: https://events.vtools.ieee.org/m/419039
ORGANIZER:aziz.boussarsar@ieee.org
SEQUENCE:40
SUMMARY:WIE X GRSS SUP&#39;COM Computer Vision Bootcamp: Workshops &amp; Competitio
 n Part 2
URL;VALUE=URI:https://events.vtools.ieee.org/m/419039
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;strong&gt;Event Overview:&lt;/strong&gt; The three
 -day bootcamp\, organized by the outstanding Women in Engineering (WIE) SU
 P&#39;COM AG and Geoscience and Remote Sensing Society (GRSS) SUP&#39;COM Chapter\
 , unfolded from April 17th to April 19th. The event featured workshops aim
 ed at empowering participants with valuable insights into Convolutional Ne
 ural Networks (CNNs)\, transfer learning techniques\, and real-world Compu
 ter Vision (CV) applications. Led by the esteemed Imen Masmoudi\, each wor
 kshop provided a deep dive into the intricacies of modern machine learning
  approaches.&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Workshops Schedule:&lt;/strong&gt;&lt;/p&gt;\n&lt;ol&gt;\n&lt;li&gt;\
 n&lt;p&gt;&lt;strong&gt;Workshop 1: &quot;Building a CNN Model from Scratch&quot;&lt;/strong&gt;&lt;/p&gt;\n
 &lt;ul&gt;\n&lt;li&gt;Date: April 17th\, 8:00 PM&lt;/li&gt;\n&lt;li&gt;Format: Online session&lt;/li&gt;
 \n&lt;li&gt;Description: Participants delved into the fundamentals of CNNs\, lea
 rning to construct models from the ground up. Imen Masmoudi expertly guide
 d attendees through the process\, offering insights and practical tips for
  effective implementation.&lt;/li&gt;\n&lt;/ul&gt;\n&lt;/li&gt;\n&lt;li&gt;\n&lt;p&gt;&lt;strong&gt;Workshop 2
 : &quot;Transfer Learning: Using Pre-Trained Models&quot;&lt;/strong&gt;&lt;/p&gt;\n&lt;ul&gt;\n&lt;li&gt;Da
 te: April 18th\, 8:00 PM&lt;/li&gt;\n&lt;li&gt;Format: Online session&lt;/li&gt;\n&lt;li&gt;Descri
 ption: Imen Masmoudi led a comprehensive exploration of transfer learning 
 techniques\, showcasing how pre-trained models can be leveraged to enhance
  efficiency and performance in various machine learning tasks. Participant
 s gained hands-on experience in applying these strategies to their own pro
 jects.&lt;/li&gt;\n&lt;/ul&gt;\n&lt;/li&gt;\n&lt;li&gt;\n&lt;p&gt;&lt;strong&gt;Workshop 3: &quot;CV Applications a
 nd Use Cases&quot;&lt;/strong&gt;&lt;/p&gt;\n&lt;ul&gt;\n&lt;li&gt;Date: April 19th\, 8:00 PM&lt;/li&gt;\n&lt;li
 &gt;Format: Online session&lt;/li&gt;\n&lt;li&gt;Description: In this session\, Imen Masm
 oudi elucidated the diverse applications of computer vision\, illustrating
  real-world use cases across industries. Participants gained valuable insi
 ghts into the practical implications of CV technology\, sparking inspirati
 on for future projects and endeavors.&lt;/li&gt;\n&lt;/ul&gt;\n&lt;/li&gt;\n&lt;/ol&gt;\n&lt;p&gt;&lt;stron
 g&gt;Internal Competition:&lt;/strong&gt; Following the bootcamp\, a one-week inter
 nal competition commenced on April 22nd\, fostering a dynamic environment 
 for participants to apply their newly acquired knowledge and insights. Run
 ning until April 28th at midnight\, this competition encouraged participan
 ts to demonstrate their proficiency in machine learning and CV through pra
 ctical challenges and projects.&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Conclusion:&lt;/strong&gt; The 3
 -day bootcamp\, organized by the magnificent WIE SUP&#39;COM AG and GRSS SUP&#39;C
 OM Chapter\, and enriched by Imen Masmoudi&#39;s expertise\, proved to be a tr
 ansformative learning experience for participants. It equipped them with v
 aluable skills and knowledge in CNNs\, transfer learning\, and CV applicat
 ions. The subsequent internal competition provided a platform for particip
 ants to showcase their abilities and creativity\, further reinforcing the 
 collaborative and innovative spirit of the WIE and GRSS communities at SUP
 &#39;COM.&lt;/p&gt;\n&lt;p&gt;This event not only contributed to the professional developm
 ent of participants but also strengthened the community within SUP&#39;COM\, f
 ostering a culture of continuous learning and growth in the field of artif
 icial intelligence and machine learning.&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/
 p&gt;\n&lt;p&gt;&lt;strong&gt;&lt;img src=&quot;https://events.vtools.ieee.org/vtools_ui/media/di
 splay/bed64e28-ce37-44a7-a67b-6bb37c08e90f&quot; alt=&quot;&quot; width=&quot;443&quot; height=&quot;434
 &quot;&gt;&lt;/strong&gt;&lt;/p&gt;
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