org.apache.mxnet.javaapi

BatchNorm_v1Param

Related Doc: package javaapi

class BatchNorm_v1Param extends AnyRef

This Param Object is specifically used for BatchNorm_v1

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Instance Constructors

  1. new BatchNorm_v1Param(data: NDArray, gamma: NDArray, beta: NDArray)

    data

    Input data to batch normalization

    gamma

    gamma array

    beta

    beta array

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  9. def getBeta(): NDArray

  10. final def getClass(): Class[_]

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  11. def getData(): NDArray

  12. def getEps(): Float

  13. def getFix_gamma(): Boolean

  14. def getGamma(): NDArray

  15. def getMomentum(): Float

  16. def getOut(): mxnet.NDArray

  17. def getOutput_mean_var(): Boolean

  18. def getUse_global_stats(): Boolean

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  23. final def notifyAll(): Unit

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  24. def setEps(eps: Float): BatchNorm_v1Param

    eps

    Epsilon to prevent div 0

  25. def setFix_gamma(fix_gamma: Boolean): BatchNorm_v1Param

    fix_gamma

    Fix gamma while training

  26. def setMomentum(momentum: Float): BatchNorm_v1Param

    momentum

    Momentum for moving average

  27. def setOut(out: NDArray): BatchNorm_v1Param

  28. def setOutput_mean_var(output_mean_var: Boolean): BatchNorm_v1Param

    output_mean_var

    Output All,normal mean and var

  29. def setUse_global_stats(use_global_stats: Boolean): BatchNorm_v1Param

    use_global_stats

    Whether use global moving statistics instead of local batch-norm. This will force change batch-norm into a scale shift operator.

  30. final def synchronized[T0](arg0: ⇒ T0): T0

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