Deterministic Boltzmann Learning Performs Steepest Descent in Weight-Space

Deterministic Boltzmann Learning Performs Steepest Descent in Weight-Space
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确定性玻尔兹曼学习在权重空间中执行最速下降

DOI:
10.7551/mitpress/3349.003.0007
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发表时间:
2001
期刊:
2011 IEEE International Symposium of Circuits and Systems (ISCAS)
影响因子:
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通讯作者:
T. Sejnowski
T. Sejnowski
中科院分区:
--
文献类型:
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作者:
Michael I. Jordan;T. Sejnowski

文献摘要

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本章包含标题为:简介、随机玻尔兹曼机的学习过程、平均场理论、确定性玻尔兹曼机器学习、权重的对称性、致谢、参考文献的章节
This chapter contains sections titled: Introduction, The Learning Procedure for Stochastic Boltzmann Machines, Mean field theory, Deterministic Boltzmann machine learning, Symmetry of the Weights, Acknowledgments, References