Skip Table Of Content Section
article
Learning Deep Architectures for AI
Pages 1–127https://doi.org/10.1561/2200000006
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 ...