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Dear author,
As far as I know, Conv4 in many literatureas refers to four convolutional blocks, each of which consists of a convolutional layer, a batch normalization layer, a Leaky ReLU layer and a 2×2 max-pooling layer. Why do you remove the max-pooling layer of the last layer and use a self.avgpool = nn.AdaptiveAvgPool2d(1)?
Looking forword to your reply.
The text was updated successfully, but these errors were encountered:
Dear author,
As far as I know, Conv4 in many literatureas refers to four convolutional blocks, each of which consists of a convolutional layer, a batch normalization layer, a Leaky ReLU layer and a 2×2 max-pooling layer. Why do you remove the max-pooling layer of the last layer and use a
self.avgpool = nn.AdaptiveAvgPool2d(1)
?Looking forword to your reply.
The text was updated successfully, but these errors were encountered: