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convRelu(5) cnn.add_module('pooling{0}'.format(3), nn.MaxPool2d((2, 2), (2, 1), (0, 1))) # 512x2x16 convRelu(6, True) # 512x1x16
发现代码的BN设置与原论文不同, 貌似这样效果确实更好些, 请问这样做的原因是?
The text was updated successfully, but these errors were encountered:
It is true. After I compared the code and the original paper , I found the difference lied in the location and numbers of bn layers.
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发现代码的BN设置与原论文不同, 貌似这样效果确实更好些, 请问这样做的原因是?
The text was updated successfully, but these errors were encountered: