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SUMMARY:Clément Hongler (EPFL)
DTSTART:20211014T160000Z
DTEND:20211014T170000Z
DTSTAMP:20260423T003237Z
UID:MPML/57
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MPML/57/">Ne
 ural Tangent Kernel</a>\nby Clément Hongler (EPFL) as part of Mathematics
 \, Physics and Machine Learning (IST\, Lisbon)\n\n\nAbstract\nThe Neural T
 angent Kernel is a new way to understand the gradient descent in deep neur
 al networks\, connecting them with kernel methods. In this talk\, I'll int
 roduce this formalism and give a number of results on the Neural Tangent K
 ernel and explain how they give us insight into the dynamics of neural net
 works during training and into their generalization features.\n\nBased off
  joint works with Arthur Jacot and Franck Gabriel.\n
LOCATION:https://researchseminars.org/talk/MPML/57/
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