
Название: Learning Deep Architectures for AI
Автор: Yoshua Bengio
Издательство: Now
Год: 2010
Формат: pdf
Страниц: 130
Размер: 1 mb.
Язык: English
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 multiple levels of non-linear operations, such as in neural nets with many hidden layers or in complicated propositional formulae re-using many sub-formulae.