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		fizixer on Dec 1, 2017 \| parent \| context \| favorite \| on: Deep image prior 'learns' on just one image By structure, do you mean the architecture of the NN? Meaning number of hidden layers, nodes per layer, and their connectivity with each other and with the input and output layers?

cs702 on Dec 1, 2017 [–]

No, the paper means primarily the weight sharing in each kernel filter within each convolutional layer, and the stacking of these layers in deep networks.

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