ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
class ShuffleNetV2(nn.Module):
def __init__(self, net_size):
super(ShuffleNetV2, self).__init__()
out_channels = configs[net_size]['out_channels']
num_blocks = configs[net_
相關文章
- 1. ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
- 2. Paper Reading：ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
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- 4. 論文筆記：ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
- 5. ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
- 6. 輕量化網絡（七）ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
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相關文章
- 1. ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
- 2. Paper Reading：ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
- 3. 【論文閱讀筆記】ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
- 4. 論文筆記：ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
- 5. ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
- 6. 輕量化網絡（七）ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
- 7. ShuffleNet V2
- 8. ShuffleNet v2
- 9. shuffleNet v2
- 10. ShuffleNet Series開源啦！