Batch Normalization: Accelerating Deep Network Training by ...
Christian Szegedy [email protected] Google, 1600 Amphitheatre Pkwy, Mountain View, CA 94043 Abstract Training Deep Neural Networks is complicated by the fact that the distribution of each layer’s inputs changes during training, as the parame-ters of the previous layers change. This slows down the training by requiring lower learning
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