[論文解讀] DSD -- Dense-Sparse-Dense Training for Neural Network
《DSD: Dense-Sparse-Dense Training for Neural Network》發表在ICLR17， 這是一篇關注於提升模型訓練得到的準確率的文章，而不是一作傳統的研究領域：模型壓縮。 DSD是一種新的訓練模型的方式，可以提高預訓練模型的準確率。DSD和dropout不一樣，雖然都是在訓練過程中有prune（剪枝）操作，但是DSD是有一定依據來選擇去掉哪些connecti
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