Are ResNets Provably Better than Linear Predictors?

NeurIPS 2018 Ohad Shamir

A residual network (or ResNet) is a standard deep neural net architecture, with state-of-the-art performance across numerous applications. The main premise of ResNets is that they allow the training of each layer to focus on fitting just the residual of the previous layer's output and the target output... (read more)

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