正则化英文专利名称：MIRROR DEEP NEURAL NETWORKS THAT
REGULARIZE TO LINEAR NETWORKS
发明人：Patrice Simard
申请号：US15359924
申请日：20161123
公开号：US20180144242A1
公开日：
20180524
专利内容由知识产权出版社提供
专利附图：
摘要：The mirror deep neural networks (DNNs) as described herein recognize
patterns in an input signal. Mirror DNNs regularize to a linear function and train very quickly. Mirror DNNs employ a neural network pattern recognizer that receives a set of
features extracted from an input signal and inputs the set of features into a multi-layer neural network. The multi-layer neural network has an input layer that receives the set of features, a plurality of intermediate layers, and an output layer that generates a set of output values that are indicative of a recognized pattern exhibited in the input signal. A first and second non-linear equation pair are chosen and applied to intermediate layers of the neural network so as to make the output values that are indicative of a pattern exhibited in the input signal linear.
申请人：Microsoft Technology Licensing, LLC
地址：Redmond WA US
国籍：US
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