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Paper Reading: ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
時間 2020-12-29
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DeepLearning
computer vision
Model compression
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ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices(arXiv:1707.01083v2) Motivation 專爲計算能力非常有限(例如10-150 MFLOP)的移動設備設計的模型,且彌補了之前Group convolution的缺點 Architecture Channel S
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相關文章
1.
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
2.
Reading Note: ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
3.
【論文閱讀筆記】ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
4.
論文閱讀筆記:ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
5.
【論文閱讀】ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
6.
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices的理解
7.
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices閱讀
8.
論文筆記:ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
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【論文學習記錄】ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
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【論文學習】ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
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