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Ceci n’est pas une pipe: A Deep Convolutional Network for ...
The overall structure of our CNN has five convolutional layers (conv1-5), three max-pooling layers (max1-3), and three fully connected layers (fc6-8). The design of our CNN architecture is inspired by the AlexNet [28]. The input of the network is 227 227 3 paintings image. Each convolu-tional layer yields 96, 256, 384, 384, and 256 feature maps,
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