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SUMMARY:Neural Tangent Kernel - Adrian Goldwaser and Lauro Langosco (Unive
 rsity of Cambridge) 
DTSTART:20230419T100000Z
DTEND:20230419T113000Z
UID:TALK199609@talks.cam.ac.uk
CONTACT:James Allingham
DESCRIPTION:Partially motivated by the observation that neural network per
 formance reliably improves with size\, the study of infinitely wide networ
 ks is a promising step towards a theory of deep learning. In this presenta
 tion we cover the basics of the neural tangent kernel (an important theore
 tical tool for the study of infinite-width nets) and how it is relevant to
  finite-width neural networks.\n\n\nRequired reading: none
LOCATION:Cambridge University Engineering Department\, CBL Seminar room BE
 4-38.
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