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Why using a different Conv4? #27

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z1358 opened this issue Mar 29, 2021 · 0 comments
Open

Why using a different Conv4? #27

z1358 opened this issue Mar 29, 2021 · 0 comments

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@z1358
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z1358 commented Mar 29, 2021

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.

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