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Aug, 2016
深度神经网络中的结构稀疏学习
Learning Structured Sparsity in Deep Neural Networks
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Wei Wen, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li
TL;DR
本文提出了一种结构稀疏学习方法,用于规范深度神经网络的结构和减少计算开销,通过SSL算法,可以在CPU和GPU设备中获得5.1x和3.1x的卷积层计算加速,同时可以通过规范DNN结构来提高分类准确性。
Abstract
High demand for computation resources severely hinders deployment of large-scale
deep neural networks
(DNN) in resource constrained devices. In this work, we propose a
structured sparsity learning
(SSL) method to
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