Understanding Deep Convolutional Networks through Gestalt Theory

19 Oct 2018Angelos AmanatiadisVasileios KaburlasosElias Kosmatopoulos

The superior performance of deep convolutional networks over high-dimensional problems have made them very popular for several applications. Despite their wide adoption, their underlying mechanisms still remain unclear with their improvement procedures still relying mainly on a trial and error process... (read more)

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