Seeing the face of a dog just means that the network has learned a good representation of dog faces. I don't think that has anything to do with the generalizati

Seeing the face of a dog just means that the network has learned a good representation of dog faces. I don't think that has anything to do with the generalization ability of the network. I'm not clear on the details of this hallucination process, but this reminds me of earlier work by Zeiler & Fergus[1], where you can see the bottom layers of the network learning general low-level features and later layers learning higher level representations of the objects being classified. [1] http://arxiv.org/abs/1311.2901 http://arxiv.org/abs/1311.2901