resnet-18-tensorflow
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Does the shortcut convolutional layer has BN?
As is shown in common resnet-N models,if output channels > input channels,the shortcut should be a layer with Batch Normalization. However, as is shown in the programs provided, the Batch Normalization did not exist. Isn't is provided in the pre-trained pytorch model? Thank you very much!
I am also wondering about the same thing. This lacks the batch norm in _residual_block_first()
nope, the original t7 file has no batch_norm for _residual_block_first
