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keras layer - what is momentum in batch_normalizatin

As using batchnormalization in my neural network model, is tuning the momentum make a really huge difference? As from what I know, smaller batch_size should use higher value for momentum and lower value for larger batch_size. High momentum will have more 'lag' and slow learnig result and so on. How is it gonna effect the performance tho?


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