Deep Learning models are creating state-of-the-art models on a number of complex tasks including speech recognition, computer vision, machine translation, among others. However, training deep learning models such as deep neural networks is a complex task as, during the training phase, inputs of each layer keep changing.  Normalization is an approach which is applied during…

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