Methodenbewijsdossier

Restricted Boltzmann Machine

A Restricted Boltzmann Machine is a two-layer generative probabilistic model consisting of visible (observed) and hidden (latent) binary units connected by an undirected bipartite graph with no within-layer connections. Originally introduced as the 'Harmonium' by Paul Smolensky in 1986 and powerfully revived by Geoffrey Hinton and Ruslan Salakhutdinov in their landmark 2006 Science paper, RBMs became historically pivotal as the building block for greedy layer-wise pre-training of Deep Belief Networks, restarting interest in deep neural networks after years of stagnation.

Sources recorded, not reviewed

Bronrecord

Citaten letterlijk overgenomen uit het bronrecord van de methode. Hieruit wordt geen verificatie op claimniveau afgeleid.

Restricted Boltzmann Machine (RBM) — Bipartite Generative Energy Model

Taxonomisch methodendossier · latent-structure / deep-learning

Hinton, G. E., & Salakhutdinov, R. R. (2006). Reducing the Dimensionality of Data with Neural Networks. Science, 313(5786), 504–507. · DOI 10.1126/science.1127647
Hinton, G. E. (2002). Training Products of Experts by Minimizing Contrastive Divergence. Neural Computation, 14(8), 1771–1800. · DOI 10.1162/089976602760128018
Smolensky, P. (1986). Information Processing in Dynamical Systems: Foundations of Harmony Theory. In D. E. Rumelhart & J. L. McClelland (Eds.), Parallel Distributed Processing, Vol. 1 (pp. 194–281). MIT Press. · ISBN 978-0-262-68053-0
Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning (Ch. 20). MIT Press. · ISBN 978-0-262-03561-3

Volledige methode openen

Gecureerde claims

Claims opgeslagen in het bewijsregister, elk met zijn eigen beoordeling.

Nog geen gecureerde claims

Deze weergave verzint geen claimbeoordeling als het register er geen heeft.

Gerelateerde methoden

Gegenereerd uit de methodegraaf en getoond als machinaal voorgestelde relaties — er wordt geen bewijsclaim afgeleid.

Used in the same domainAutoencodermachine-suggested · Relational suggestion, not evidence.Often confused withDeep Belief Networkmachine-suggested · Relational suggestion, not evidence.Used in the same domainVariational Autoencodermachine-suggested · Relational suggestion, not evidence.