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ml-recall

#vgg-blocks

1 question from Landmark Architectures

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Question 1: Single choice

easyAI-checkedLandmark Architectures

VGG-11 is built with arch = ((1, 64), (1, 128), (2, 256), (2, 512), (2, 512)), where each pair gives the number of 3×33 \times 3 convolutions and the output channels of one VGG block, followed by three fully connected layers. Printing the output shape of each top-level module shows the five blocks and the three FC layers (plus flatten, ReLU and dropout), only eight entries with weights, although VGG-11 has 11 weight layers. Where are the other three?

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