adam_updateParam

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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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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 getBeta1(): Float

   

10. def getBeta2(): Float

    

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

    

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12. def getClip_gradient(): Float

    

13. def getEpsilon(): Float

    

14. def getGrad(): NDArray

    

15. def getLazy_update(): Boolean

    

16. def getLr(): Float

    

17. def getMean(): NDArray

    

18. def getOut(): mxnet.NDArray

    

19. def getRescale_grad(): Float

    

20. def getVari(): NDArray

    

21. def getWd(): Float

    

22. def getWeight(): NDArray

    

23. def hashCode(): Int

    

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24. final def isInstanceOf[T0]: Boolean

    

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

    

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26. final def notify(): Unit

    

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27. final def notifyAll(): Unit

    

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28. def setBeta1(beta1: Float): adam_updateParam

    
    beta1

    The decay rate for the 1st moment estimates.

29. def setBeta2(beta2: Float): adam_updateParam

    
    beta2

    The decay rate for the 2nd moment estimates.

30. def setClip_gradient(clip_gradient: Float): adam_updateParam

    
    clip_gradient

    Clip gradient to the range of [-clip_gradient, clip_gradient] If clip_gradient <= 0, gradient clipping is turned off. grad = max(min(grad, clip_gradient), -clip_gradient).

31. def setEpsilon(epsilon: Float): adam_updateParam

    
    epsilon

    A small constant for numerical stability.

32. def setLazy_update(lazy_update: Boolean): adam_updateParam

    
    lazy_update

    If true, lazy updates are applied if gradient's stype is row_sparse and all of w, m and v have the same stype

33. def setOut(out: NDArray): adam_updateParam

    

34. def setRescale_grad(rescale_grad: Float): adam_updateParam

    
    rescale_grad

    Rescale gradient to grad = rescale_grad*grad.

35. def setWd(wd: Float): adam_updateParam

    
    wd

    Weight decay augments the objective function with a regularization term that penalizes large weights. The penalty scales with the square of the magnitude of each weight.

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

    

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37. def toString(): String

    

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38. final def wait(): Unit

    

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

    

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

    

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