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David Windisch
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Publisher: Journals Gateway
Neural Computation (2005) 17 (2): 487–502.
Published: 01 February 2005
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The question of whether it is possible to load deep neural network architectures efficiently is examined by considering the class of pyramidal architectures. This class allows only a low interaction of the nodes. Still, the loading problem is found to be NP-complete. This provides evidence that depth alone is a factor accounting for loading hardness.