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DTSTAMP:20261008T171935Z
DTSTART:20221211T183000Z
DTEND:20221216T182959Z
SUMMARY:Deep Learning Architectures for Computer Vision DLACV 2022
LOCATION:Mepco Schlenk Engineering College\, Sivakasi
DESCRIPTION:<p>ABOUT THE WORKSHOP<br />\nLOCATION<br />\nDeep learning\, a 
 subset of machine learning (ML)<br />\nin artificial intelligence (AI) has
  revolutionised<br />\ncomputing power in every region of the world.<br />
 \nDeep Learning is heavily used in the academia to<br />\nstudy intelligen
 ce and in the industry for building<br />\nintelligent systems to assist h
 umans in various<br />\ntasks. The main theme of this Faculty<br />\nDevel
 opment Programme(FDP) is to explore<br />\ndeep learning algorithms perfor
 ming pattern<br />\nrecognition tasks better than conventional<br />\nmach
 ine learning based approaches. This FDP<br />\nwill bring together experts
  and researchers<br />\nworking in Machine Learning and Deep Learning<br /
 >\ndomain to unravel new concepts\, tools\, advances<br />\nand challenges
  in AI upgraded technology<br />\ninfrastructure and solutions to computer
  vision<br />\ntasks. This FDP will serve as an intellectual and<br />\nin
 formative platform to witness the best practices<br />\nand projects carri
 ed out using deep learning.<br />\nParticipants will experience the power 
 of deep<br />\nlearning through hands-on sessions in MATLAB<br />\nand Pyt
 hon programming. At the end of this FDP\,<br />\nthey will be able to deve
 lop deep learning<br />\narchitectures for their application specific prob
 lem<br />\ndomains. The FDP topics include<br />\n« Machine Learning to D
 eep Learning Paradigm<br />\nShift.<br />\n« Recurrent Neural Networks fo
 r Sequence<br />\nLearning Problems like Natural Language<br />\nProcessin
 g and Speech Processing.<br />\n« Convolutional Neural Networks for Patte
 rn<br />\nRecognition Problems.<br />\n« Advanced Deep Learning Models fo
 r Data<br />\nSynthesis<br />\nDeep learning techniques for Research<br />
 \nApplications.</p>
URL:https://www.knowafest.com/deep-learning-architectures-for-computer-visi
 on-dlacv-2022
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