一种多层神经网络的隐单元修剪学习方法

H. Takechi, K. Murakami
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引用次数: 0

摘要

提出了一种多层神经网络的隐单元修剪学习方法。该方法自适应地改变每个单元的学习率,以平衡隐藏单元对网络的影响。利用该方法可以很容易地找到无用的隐藏单元,并构造具有少量隐藏单元的网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A learning method of multilayer neural networks for pruning hidden units
This paper presents a learning method of multilayer neural networks for pruning hidden units. In this method, the learning rates of each unit are adaptively changed to unbalance the influence of the hidden units on the network. With this method, useless hidden units are easily found and networks with small number of hidden units are constructed.
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