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ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
時間 2020-12-26
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具體見: https://github.com/kuangliu/pytorch-cifar/tree/master/models class ShuffleNet(nn.Module): def __init__(self, cfg): super(ShuffleNet, self).__init__() out_planes = cfg['out_pla
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相關文章
1.
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
2.
【論文閱讀筆記】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】ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
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Paper Reading: ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
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ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices的理解
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ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices閱讀
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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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