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Learning Deep Architectures for AI
- aDept. IRO, Université de Montréal, Canada
- ✉Corresponding author
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TL;DRThe motivations and principles regarding learning algorithms for deep architectures, in particular those exploiting as building blocks unsupervised learning of single-layer modelssuch as Restricted Boltzmann Machines, used to construct deeper models such as Deep Belief Networks are discussed. (Semantic Scholar)