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SUMMARY:An Introduction to Algorithmic Differentiation - Will Tebbutt (Uni
 versity of Cambridge)
DTSTART:20250129T110000Z
DTEND:20250129T123000Z
UID:TALK227848@talks.cam.ac.uk
CONTACT:120952
DESCRIPTION:Reverse-mode Algorithmic Differentiation (AD) is a foundationa
 l tool in modern Machine Learning. In this session we will review what AD 
 does\, how it does it\, and the implications of this in both principle and
  practice.\n\nI will only assume familiarity with calculus (the chain rule
 \, gradients\, Jacobians\, directional derivatives\, etc)\, and that you h
 ave at some point used a framework like PyTorch or JAX\, and are therefore
  familiar with what these frameworks tend to offer.
LOCATION:Cambridge University Engineering Department\, CBL Seminar room BE
 4-38.
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