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SUMMARY:Automatic Differentiation with Theano - Yarin Gal\; Christof Anger
 mueller
DTSTART:20141113T150000Z
DTEND:20141113T163000Z
UID:TALK55676@talks.cam.ac.uk
CONTACT:39777
DESCRIPTION:Implementing models in machine learning and data analysis ofte
 n requires a considerable effort which can span over weeks. Symbolic diffe
 rentiation can be used to speed up model prototyping in a large class of m
 odels to a single day. In this tutorial we will explain how to use Theano\
 , a Python package for symbolic differentiation. We will walk through the 
 theory and basics of symbolic differentiation\, and will implement two rea
 l world models: logistic regression and a deep net. A NumPy refresher will
  be given beforehand.
LOCATION:Engineering Department\, CBL Room 438
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