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BACTAC - Fan

 
10/24/2006
3:30pm-4:30pm
ECOT 831

Unsupervised Learning in Neural Nets: Infomax and Others
Adrian T. Fan
PhD Candidate

Neural Networks derive much of their design from biology. However, most error update functions used in supervised neural nets are biologically implausible. We will review some approaches that have looked at the neural network structure from the unsupervised perspective, mainly Linsker's Infomax principle and many derived works, as well as current applications in signal deconvolution, computer vision, and future avenues.


BACTAC, the Beverage And Chips Tuesday Afternoon Colloquium, is a weekly forum run by graduate students. The goal is provide an informal setting in which anyone can (basically) present anything. In the past, we have had practice talks for conferences and job interviews, research reports, juggle lessons (!), student representative reports, internship discussions, an introduction to ergonomics, and "pay attention to this when you are going to look for job" discussions.

BACTAC is meant to be an informal and social event to promote the interaction among graduate students. BACTAC is typically held every Tuesday, at 3:30pm, in room ECOT 831. Free munchies and drinks are provided.

Please email Caleb Phillips for more information or if you want to be a speaker.

 
See also:
Department of Computer Science
College of Engineering and Applied Science
University of Colorado Boulder
Boulder, CO 80309-0430 USA
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