Batch Normalization: Accelerating Deep Network Training …
work parameters during training. To improve the training, we seek to reduce the internal covariate shift. By fixing the distribution of the layer inputs x as the training pro-gresses, we expect to improve the training speed. It has been long known (LeCun et al.,1998b;Wiesler & Ney, 2011) that the network training converges faster if its in-
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