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Aug, 2018
深度卷积神经网络加速的软性过滤裁剪
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks
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Yang He, Guoliang Kang, Xuanyi Dong, Yanwei Fu, Yi Yang
TL;DR
本文通过软过度滤波(SFP)方法对深度卷积神经网络(CNN)推导过程进行了加速优化,通过对模型进行剪枝更新达到了更高的准确性和更高效的训练,这种方法不依赖预训练模型且在ILSCRC-2012数据集ResNet-101上表现优异。
Abstract
This paper proposed a
soft filter pruning
(SFP) method to accelerate the inference procedure of
deep convolutional neural networks
(CNNs). Specifically, the proposed SFP enables the pruned filters to be updated w
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