The Loss Surface of Residual Networks: Ensembles and the Role of Batch Normalization

8 Nov 2016 Etai Littwin Lior Wolf

Deep Residual Networks present a premium in performance in comparison to conventional networks of the same depth and are trainable at extreme depths. It has recently been shown that Residual Networks behave like ensembles of relatively shallow networks... (read more)

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