Periodic Spectral Ergodicity: A Complexity Measure for Deep Neural Networks and Neural Architecture Search

10 Nov 2019Mehmet SüzenJ. J. CerdàCornelius Weber

Establishing associations between the structure and the generalisation ability of deep neural networks (DNNs) is a challenging task in modern machine learning. Producing solutions to this challenge will bring progress both in the theoretical understanding of DNNs and in building new architectures efficiently... (read more)

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