[Lisa_seminaires] Oct 17th, 14:30 talk by Hinton at McGill - The next generation of neural networks

Pascal Lamblin lamblinp at iro.umontreal.ca
Mar 7 Oct 15:47:56 EDT 2008


Geoff Hinton is giving a talk next week (friday, oct. 17th) at McGill,
organized by CRM Applied Math Lab and McGill CSE,
<http://www.dms.umontreal.ca/~mathapp/>

Location: McGill, Burnside Hall 1205
Time: 14:30
Speaker: Geoffrey Hinton <http://www.cs.toronto.edu/~hinton/>
Title: THE NEXT GENERATION OF NEURAL NETWORKS

Abstract:
In the 1980's, new learning algorithms for neural networks promised to
solve difficult classification tasks, like speech or object
recognition, by learning many layers of non-linear features.  The
results were disappointing for two reasons: There was never enough
labeled data to learn millions of complicated features and the
learning was much too slow in deep neural networks with many layers of
features.  These problems can now be overcome by learning one layer of
features at a time and by changing the goal of learning.  Instead of
trying to predict the labels, the learning algorithm tries to create a
generative model that produces data which looks just like the
unlabeled training data. After learning many layers of features in
this way, a relatively small amount of labeled data can then be used
to fine-tune the features to give better discrimination.  These new
neural networks outperform other machine learning methods when labeled
data is scarce but unlabeled data is plentiful. I will describe an
application to recognizing 3-D shapes by Vinod Nair and an application
to generating human motion by Graham Taylor.


-- 
Pascal


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