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SUMMARY:Ethan Dyer and Guy Gur-Ari (Google)
DTSTART:20210517T193000Z
DTEND:20210517T203000Z
DTSTAMP:20260423T040040Z
UID:Kadanoff/40
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/Kadanoff/40/
 ">The role of scale in deep neural networks</a>\nby Ethan Dyer and Guy Gur
 -Ari (Google) as part of Kadanoff seminars\n\n\nAbstract\nModern deep lear
 ning has made remarkable progress across a wide variety of domains. A key 
 ingredient to this success has been increasingly big models trained on inc
 reasingly large datasets. I will discuss theoretical and empirical work at
 tempting to understand how performance improves with scale and distinguish
 ing problems which can be solved by scale alone from those where new ideas
  are needed.\n
LOCATION:https://researchseminars.org/talk/Kadanoff/40/
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