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cntk.perDimMeanVarianceNormalize

cntk.perDimMeanVarianceNormalize(
   $operand as cntk.variable,
   $mean as cntk.variable,
   $inv-std-dev as cntk.variable,
   [$name as String]
) as cntk.function

Summary

Computes per dimension mean-variance normalization of the specified input operand.

Parameters
$operand The variable to be normalized.
$mean Per dimension mean to use for the normalization.
$inv-std-dev per dimension standard deviation to use for the normalization.
$name The name of the function instance in the network.

Example

  var inputVariable1 = cntk.inputVariable(cntk.shape([3]), "float", fn.false(),
    fn.false(), "feature")
  var inputVariable2 = cntk.inputVariable(cntk.shape([3]), "float", fn.false(),
    fn.false(), "feature")
  cntk.perDimMeanVarianceNormalize(inputVariable1,inputVariable2, inputVariable2,
    "h4Q5EAJk,")
  => cntk.function(Composite PerDimMeanVarianceNormalize (Input(Name(feature),
  Shape([3]), Dynamic Axes([Sequence Axis(Default Dynamic Axis),
  Batch Axis(Default Batch Axis)])), Input(Name(feature), Shape([3]),
  Dynamic Axes([Sequence Axis(Default Dynamic Axis), Batch Axis(Default Batch Axis)]))))

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