BatchNorm_v1Param

Value Members

1. final def !=(arg0: Any): Boolean

   

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2. final def ##(): Int

   

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3. final def ==(arg0: Any): Boolean

   

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4. final def asInstanceOf[T0]: T0

   

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5. def clone(): AnyRef

   

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6. final def eq(arg0: AnyRef): Boolean

   

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7. def equals(arg0: Any): Boolean

   

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8. def finalize(): Unit

   

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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

    

19. def hashCode(): Int

    

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20. final def isInstanceOf[T0]: Boolean

    

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21. final def ne(arg0: AnyRef): Boolean

    

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22. final def notify(): Unit

    

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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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31. def toString(): String

    

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32. final def wait(): Unit

    

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33. final def wait(arg0: Long, arg1: Int): Unit

    

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34. final def wait(arg0: Long): Unit

    

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