org.apache.mxnet.javaapi

signsgd_updateParam

Related Doc: package javaapi

class signsgd_updateParam extends AnyRef

This Param Object is specifically used for signsgd_update

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Instance Constructors

  1. new signsgd_updateParam(weight: NDArray, grad: NDArray, lr: Float)

    weight

    Weight

    grad

    Gradient

    lr

    Learning rate

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

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  10. def getClip_gradient(): Float

  11. def getGrad(): NDArray

  12. def getLr(): Float

  13. def getOut(): mxnet.NDArray

  14. def getRescale_grad(): Float

  15. def getWd(): Float

  16. def getWeight(): NDArray

  17. def hashCode(): Int

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  21. final def notifyAll(): Unit

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  22. def setClip_gradient(clip_gradient: Float): signsgd_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).

  23. def setOut(out: NDArray): signsgd_updateParam

  24. def setRescale_grad(rescale_grad: Float): signsgd_updateParam

    rescale_grad

    Rescale gradient to grad = rescale_grad*grad.

  25. def setWd(wd: Float): signsgd_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.

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

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