Learning multiple layers of representation

2007/10/01 by Geoffrey E. Hinton · 765 citations
Computer Science · Neuroscience · Psychology · #Artificial intelligence #Artificial neural network #Backpropagation #Blind Source Separation Techniques #Computer science #Feature learning #Generative grammar #Generative model #Layer (electronics) #Machine learning #Neural Networks and Applications #Neural dynamics and brain function #Neuroscience #Object (grammar) #Pattern recognition (psychology) #Perception #Psychology #Representation (politics) #Sensory system

paper · doi:10.1016/j.tics.2007.09.004

published in Trends in Cognitive Sciences 11(10), 428-434 (Elsevier BV)

crossref issued 2007/10/01 · crossref published 2007/10/01 · crossref published-print 2007/10/01 · openalex publication_date 2007/10/01 · crossref created 2007/10/23 · crossref deposited 2019/05/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/22 · crossref indexed 2026/08/06

Citations

• Learning representations by back-propagating errors
• On the computational architecture of the neocortex
• An Information-Maximization Approach to Blind Separation and Blind Deconvolution
• Training Products of Experts by Minimizing Contrastive Divergence
• A Fast Learning Algorithm for Deep Belief Nets
• The role of the primary visual cortex in higher level vision
• Training Invariant Support Vector Machines

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