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在一开始5.12.1中代码所定义的稠密块有两层卷积,而在5.12.3的代码中
def densenet(): return DenseNet(num_init_features=64, growth_rate=32, block_layers=[4,4,4,4], compression_rate=0.5, drop_rate=0.5) mynet=densenet()
定义了block_layers[4,4,4,4], 所以实际上代码最后定义的模型是不是4x4x2个卷积层,而不是像上文所提到的
同ResNet一样,我们可以设置每个稠密块使用多少个卷积层。这里我们设成4,从而与上一节的ResNet-18保持一致
或者还是我理解错了啊
The text was updated successfully, but these errors were encountered:
LIANGQINGYUAN
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在一开始5.12.1中代码所定义的稠密块有两层卷积,而在5.12.3的代码中
定义了block_layers[4,4,4,4], 所以实际上代码最后定义的模型是不是4x4x2个卷积层,而不是像上文所提到的
或者还是我理解错了啊
The text was updated successfully, but these errors were encountered: