convNet.pytorch
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bug in vgg?
Hi, cool framework! note that you add a layer of AvgPool2D with kernel=1 in the class VGG. This basically doesn't have any effect. Perhaps you meant AdaptiveAveragePool? In addition, the input for the classification layer is usually 77512, given an input of 224x224.