Loading TOC...


   $x as cntk.variable,
   [$scale as cntk.double],
   [$alpha as cntk.double],
   [$name as String]
) as cntk.function


Scaled exponential linear unit operation. Computes the element-wise exponential linear of x: scale * x for x >= 0 and x: scale * alpha * (exp(x)-1) otherwise. The output tensor has the same shape as x.

$x Any Function that outputs a tensor.
$scale The scale of the above equation.
$alpha The alpha of the above equation.
$name The name of the function instance in the network.


  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.selu(inputVariable2, -8689658208.838396, -1894919915.011511, "m\Fe5?>_d")
  => cntk.function(Composite SELU (Input(Name(feature), Shape([3]), Dynamic
  Axes([Sequence Axis(Default Dynamic Axis), Batch Axis(Default Batch Axis)]))))

Stack Overflow iconStack Overflow: Get the most useful answers to questions from the MarkLogic community, or ask your own question.