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Dropout distillation
Dropout is a popular stochastic regularization technique for deep neural networks that works by randomly dropping (i.e. zeroing) units from the network during training. This randomization process allows to implicitly train an ensemble of exponentially many networks sharing the same parametrization, which should be averaged at test time to deliver the final prediction. A typical workaround for t...
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ژورنال
عنوان ژورنال: Journal of Industrial & Engineering Chemistry
سال: 1921
ISSN: 0095-9014,1943-2968
DOI: 10.1021/ie50140a018