单位和层对深度玻尔兹曼机的影响

Proceedings of the 3rd International Conference on Computer Science and Application Engineering Pub Date : 2019-10-22 DOI:10.1145/3331453.3361289

Luhong Diao, Yang Liu, Dong Nan, Yong Qiao, Juan Peng

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引用次数: 1

摘要

本文分析了单元和层对深度玻尔兹曼机的影响。将DBM分为两部分，揭示了这两部分对DBM逼近能力的影响。这表明深度玻尔兹曼机的表示能力并不总是随着单元和层数的增加而提高。当一个深度玻尔兹曼机器已经是最好的，更多的单元和层几乎总是导致更差的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Units and Layers' Effects on Deep Boltzman Machines

This paper analyzes the units' and layers' effects on deep Boltzman machines. It divides the DBM into two parts and reveals how the two parts affect the DBM's approximation capability. It indicates that the representation power of deep Boltzman machine is not always improved with more units and layers. When a deep Boltzman machine is best already, more units and layers will nearly always lead to worse performance.

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Proceedings of the 3rd International Conference on Computer Science and Application Engineering

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