DropFilterR: A Novel Regularization Method for Learning Convolutional Neural Networks
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DOI: 10.1007/s11063-019-10147-0
Abstract: The past few years have witnessed the fast development of regularization methods for deep learning models such as fully-connected deep neural networks (DNNs) and convolutional neural networks (CNNs). Part of previous methods mainly consider to… read more here.
Keywords: neural networks; method; convolutional neural; dropfilterr novel ... See more keywords