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Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
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Authors:
Honglak Lee
Stanford University, Stanford, CA
Roger Grosse
Stanford University, Stanford, CA
Rajesh Ranganath
Stanford University, Stanford, CA
Andrew Y. Ng
Stanford University, Stanford, CA
2009 Article
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· Proceeding
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
ACM
New York, NY
, USA
©2009
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ISBN: 978-1-60558-516-1
doi>
10.1145/1553374.1553453
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Tags:
algorithms
design
inference engines
modeling methodologies
nonmonotonic reasoning and belief revision
performance
probabilistic algorithms
theory
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