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cntk:per-dim-mean-variance-normalize

cntk:per-dim-mean-variance-normalize(
   $operand as cntk:variable,
   $mean as cntk:variable,
   $inv-std-dev as cntk:variable,
   [$name as xs: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

  let $input-variable1 := cntk:input-variable(cntk:shape((3)), "float",
    fn:false(), fn:false(), "feature")
  let $input-variable2 := cntk:input-variable(cntk:shape((3)), "float",
    fn:false(), fn:false(), "feature")
  return cntk:per-dim-mean-variance-normalize($input-variable1,
    $input-variable2, $input-variable2, "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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