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cs.LG2018★ 1 cited
Dropout with Tabu Strategy for Regularizing Deep Neural Networks
Zongjie Ma, Abdul Sattar, Jun Zhou +2
Dropout has proven to be an effective technique for regularization and preventing the co-adaptation of neurons in deep neural networks (DNN). It randomly drops units with a probabi…
cs.LG2017
Trainable back-propagated functional transfer matrices
Cheng-Hao Cai, Yanyan Xu, Dengfeng Ke +2
Connections between nodes of fully connected neural networks are usually represented by weight matrices. In this article, functional transfer matrices are introduced as alternative…