Learning Deep Architectures for AI

Discusses the motivations for and principles of learning algorithms for deep architectures. By analysing and comparing recent results with different learning algorithms for deep architectures, explanations for their success are proposed and discussed, highlighting challenges and suggesting avenues for future explorations in this area.