Hi everyone, In the first assignment of the second week (Resnets), I don’t quite understand why we set BatchNormalization(axis = 3). Not sure if I missed that in the videos, but I would imagine that the number of axis would be related to the number of channels of the previous volume? That is, the …

This post has the best explanation, so instead of repeating it, I advice you to read all of it yourself: [akshata bhat] Batch Normalization in Convolutional Neural Network machine-learning, computer-vision, deep-learning, conv-neural-network asked by akshat…

C4W2 Resnets - Why batchnormalization axis = 3

Course Q&A Deep Learning Specialization Convolutional Neural Networks

jonaslalin August 20, 2021, 10:44am 4

This one is also great:

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Batch Normalization with axis = -1 (3)