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PRODID:IEEE vTools.Events//EN
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DTSTART:20230312T030000
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DTSTART:20221106T010000
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DTSTAMP:20221125T134847Z
UID:B3824137-42B9-435B-9585-FCE328A06C7A
DTSTART;TZID=America/New_York:20221124T180000
DTEND;TZID=America/New_York:20221124T200000
DESCRIPTION:Deep learning has become the new norm for a wide range of video
  analysis tasks\, ranging from simple classification to synthesizing reali
 stic new videos from text inputs. Keeping up with state-of-the-art DL algo
 rithms has never been harder. Even the &#39;Transformer&#39; has been given a new 
 meaning. This presentation will uncover the mystery of deep learning in pl
 ain language and explain how those algorithms are deployed to products. Mo
 re importantly\, the audience will learn what it takes to become a deep le
 arning engineer.\n\nThe presentation will cover the following topics:\n\n-
  Recent advances in deep learning and self-supervised learning (video clas
 sification).\n\n- How are deep learning algorithms commercialized?\n\n- Ca
 reer roadmap for aspirant candidates\n\nSpeaker(s): Dr. Peng Dai\, \n\nVir
 tual: https://events.vtools.ieee.org/m/326443
LOCATION:Virtual: https://events.vtools.ieee.org/m/326443
ORGANIZER:d.cecic@ieee.org
SEQUENCE:3
SUMMARY:Opportunities in Deep Learning: Commercialization and Career paths
URL;VALUE=URI:https://events.vtools.ieee.org/m/326443
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Deep learning has become the new norm for 
 a wide range of video analysis tasks\, ranging from simple classification 
 to synthesizing realistic new videos from text inputs. Keeping up with sta
 te-of-the-art DL algorithms has never been harder. Even the &#39;Transformer&#39; 
 has been given a new meaning. This presentation will uncover the mystery o
 f deep learning in plain language and explain how those algorithms are dep
 loyed to products. More importantly\, the audience will learn what it take
 s to become a deep learning engineer.&lt;/p&gt;\n&lt;p&gt;The presentation will cover 
 the following topics:&lt;/p&gt;\n&lt;p&gt;- Recent advances in deep learning and self-
 supervised learning (video classification).&lt;/p&gt;\n&lt;p&gt;- How are deep learnin
 g algorithms commercialized?&lt;/p&gt;\n&lt;p&gt;- Career roadmap for aspirant candida
 tes&lt;/p&gt;
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