ImmuNeCS: Neural Committee Search by an Artificial Immune System

18 Nov 2019Luc FrachonWei PangGeorge M. Coghill

Current Neural Architecture Search techniques can suffer from a few shortcomings, including high computational cost, excessive bias from the search space, conceptual complexity or uncertain empirical benefits over random search. In this paper, we present ImmuNeCS, an attempt at addressing these issues with a method that offers a simple, flexible, and efficient way of building deep learning models automatically, and we demonstrate its effectiveness in the context of convolutional neural networks... (read more)

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