A functional interface that generates a normalized version of a double array.
Normalizes the exponential values of the input array.
NoopNormalizer returns a copy in
Normalizes, but first subtracts the minimum value (to ensure positivity).
Normalizes the input by applying a logistic sigmoid to each element.
There are two interfaces:
VectorNormalizer. Merger is used to combine gradient tensors
produced across different examples (i.e., to combine the gradients within a minibatch). VectorNormalizer is
used to normalize an array, usually into a probability distribution.
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