A Novel Restricted Boltzmann Machine Training Algorithm With Dynamic Tempering Chains

Restricted Boltzmann machines (RBMs) are commonly used as pre-training methods for deep learning models. Contrastive divergence (CD) and parallel tempering (PT) are traditional training algorithms of RBMs. However, these two algorithms have shortcomings in processing high-dimensional and complex dat...

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Autores principales: Xinyu Li, Xiaoguang Gao, Chenfeng Wang
Formato: article
Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/670076506bd441819c7d275d7b5041bf
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