Understanding Batch Normalization Layer In PyTorch

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*Memos:

My post explains Batch Normalization Layer.
My post explains BatchNorm1d().
My post explains BatchNorm2d().
My post explains LayerNorm().
My post explains requires_grad.

BatchNorm3d() can get the 5D tensor of the zero or more elements computed by 3D Batch Normalization from the 5D tensor of zero or more elements as shown below:
*Memos:

The 1st argument for initialization is num_features(Required-Type:int). *It must be 1 <= x.
The 2nd argument for initialization is eps(Optional-Default:1e-05-Type:float).
The 3rd argument for initialization is momentum(Optional-Defau...