Batch normalisation (batch norm) is one of the most widely used deep learning techniques to stabilise and accelerate training in deep neural networks. This technique helps decrease the number of parameter updates required to achieve low training error. This reduction in training duty led to the emergence of many improvements within the machine learning community.  […]

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