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Nov, 2013
一种基于原始-对偶方法的约束回声状态属性的递归神经网络训练方法
A New Method for Learning Deep Recurrent Neural Networks
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Jianshu Chen, Li Deng
TL;DR
本文提出了一个循环神经网络架构，利用一个全连接的深度神经网络作为其特征提取器，并采用原始-对偶训练方法进行学习，实现了18.86%的电话识别错误率并优于已有的方法。
Abstract
A novel architecture of a
recurrent neural network
(RNN), integrated with a fully-connected
deep neural network
(DNN) as its feature extractor, is presented. This deep-RNN is equipped with both causal temporal pr
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