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Volume 2, Issue 1January 2009
Publisher:
  • Now Publishers Inc.
  • P.O. Box 1024
  • Hanover
  • MA
  • United States
ISSN:1935-8237
EISSN:1935-8245
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Learning Deep Architectures for AI

Theoretical results suggest that in order to learn the kind of complicated functions that can represent high-level abstractions (e.g., in vision, language, and other AI-level tasks), one may need deep architectures. Deep architectures are composed of ...

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