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A fast learning algorithm for deep belief nets

Author
HINTON, Geoffrey E1 ; OSINDERO, Simon1 ; TEH, Yee-Whye2
[1] Department of Computer Science, University of Toronto, Toronto, M5S 3G4, Canada
[2] Department of Computer Science, National University of Singapore, Singapore 117543, Singapore
Source

Neural computation. 2006, Vol 18, Num 7, pp 1527-1554, 28 p ; ref : 1 p.1/4

ISSN
0899-7667
Scientific domain
Computer science; Neurology; Psychology, psychopathology, psychiatry
Publisher
MIT Press, Cambridge, MA
Publication country
United States
Document type
Article
Language
English
Keyword (fr)
Algorithme apprentissage Algorithme glouton Algorithme rapide Calcul neuronal Estimation statistique Loi a priori Mémoire associative Niveau énergie Réseau neuronal Couche cachée Réseau croyance
Keyword (en)
Learning algorithm Greedy algorithm Fast algorithm Neural computation Statistical estimation Prior distribution Associative memory Energy level Neural network Belief net
Keyword (es)
Algoritmo aprendizaje Algoritmo glotón Algoritmo rápido computación neuronal Estimación estadística Ley a priori Memoria asociativa Nivel energía Red neuronal
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02A Theoretical computing / 001D02A05 Algorithmics. Computability. Computer arithmetics

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C02 Learning and adaptive systems

Pascal
002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A01 General aspects / 002A01B Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)

Discipline
Biological sciences. Generalities. Modelling. Methods Computer science : theoretical automation and systems Generalities in biological sciences
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
17802227

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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