Channel Pruning for Accelerating Very Deep Neural Networks

ICCV 2017 Yihui HeXiangyu ZhangJian Sun

In this paper, we introduce a new channel pruning method to accelerate very deep convolutional neural networks.Given a trained CNN model, we propose an iterative two-step algorithm to effectively prune each layer, by a LASSO regression based channel selection and least square reconstruction. We further generalize this algorithm to multi-layer and multi-branch cases... (read more)

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