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An overview of the ten pre-trained networks architecture used in this study. In each network, the convolution layers with the same color are in the same size. The straight arrows represent the direction of flow and computation. All convolution layers of the AlexNet, VGG-16 and VGG-19 networks are depicted. However, for the other networks, convolution layers of the most repetitive (core) part are depicted.
