Comments (1)
gugarosa
commented on June 10, 2024
The problem is that on VGG16 the last layer prior to the top classification ones is a Pooling Layer, therefore you are basically getting the output of this layer, which if I'm not mistaken are 512 7x7 pooling windows. You could apply a dense layer after it in order to get a 1D vector, just remember to use it on all the images that you want to extract the features, so it is possible to make a fair comparison between them.
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