Mitigating Architectural Mismatch During the Evolutionary Synthesis of Deep Neural Networks

19 Nov 2018Audrey ChungPaul FieguthAlexander Wong

Evolutionary deep intelligence has recently shown great promise for producing small, powerful deep neural network models via the organic synthesis of increasingly efficient architectures over successive generations. Existing evolutionary synthesis processes, however, have allowed the mating of parent networks independent of architectural alignment, resulting in a mismatch of network structures... (read more)

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