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Comparing Evolutionary Algorithms for Deep Neural Networks
The results of this paper show that both multi-layered coevolutionary approaches and hierarchical approaches to optimizing DNNs are feasible and can develop DNNs comparable to those with hand-designed architectures.
Zhuolun (Alan) Zhao, Harsha Uppili, Gabriel Meyer-Lee
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Comparing Evolutionary Algorithms for Deep Neural Networks