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Restricted Boltzmann Machines

Charu Aggarwal
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Charu Aggarwal: International Business Machines, IBM T. J. Watson Research Center

Chapter Chapter 7 in Neural Networks and Deep Learning, 2023, pp 231-264 from Springer

Abstract: Abstract The restricted Boltzmann machine (RBM) is a fundamentally different model from the feed-forward network. Conventional neural networks are input-output mapping networks where a set of inputs is mapped to a set of outputs. On the other hand, RBMs are networks in which the probabilistic states of a network are learned for a set of inputs, which is useful for unsupervised modeling.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-29642-0_7

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DOI: 10.1007/978-3-031-29642-0_7

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