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XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
時間 2020-12-24
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Abstract 本文是一篇經典的二值化weight和activations的文章,發表在ECCV2016.本文提出了兩種有效二值化的框架: XNOR−Net X N O R − N e t 以及 BWN B W N (Binary-Weight-Networks).在存儲方面可以節省32倍的memory。在 XNOR−Net X N O R − N e t 上weights以及卷積層的input
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相關文章
1.
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
2.
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3.
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讀文獻——《ImageNet classification with deep convolutional neural networks》
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