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DTSTART:20230712T000000
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DTSTART:20231029T030000
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DTSTART:20240331T030000
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SUMMARY:Gradients for everyone: a quick guide to autodiff in Julia - Guill
 aume Dalle\, Adrian Hill
DTSTART;TZID=Europe/Amsterdam:20240711T143000
DTEND;TZID=Europe/Amsterdam:20240711T150000
DTSTAMP:20260815T153516Z
UID:pretalx-juliacon2024-YGZYWK@pretalx.com
DESCRIPTION:Automatic Differentiation (AD) is the art of letting your comp
 uter work out derivatives for you. The Julia ecosystem provides many diffe
 rent AD tools\, which can be overwhelming. This talk will give everyone th
 e necessary information to answer two simple questions:\n- As a developer\
 , how do I make my functions differentiable?\n- As a user\, how do I diffe
 rentiate through other people's functions?\n\nVideo: <https://www.youtube.
 com/live/ZKt0tiG5ajw?t=19747s>
LOCATION:For Loop (3.2)
URL:https://pretalx.com/juliacon2024/talk/YGZYWK/
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