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, 2019. Current studies have shown that a deep neural network can be pruned down to as little as ten% of the dimensions of the first network without loss in test prediction. This leads to a paradox: Instruction the smaller, pruned community (randomly initialized) leads to even worse examination https://hugot630cfg0.blogdanica.com/profile

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