Class

ml.dmlc.mxnet

Normal

Related Doc: package mxnet

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class Normal extends Initializer

Initialize the weight with normal(0, sigma)

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Instance Constructors

  1. new Normal(sigma: Float = 0.01f)

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    sigma

    Standard deviation for gaussian distribution.

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. def apply(name: String, arr: NDArray): Unit

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    Initialize an Initializer

    Initialize an Initializer

    name

    name of corrosponding ndarray

    arr

    ndarray to be Initialized

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  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )
  7. final def eq(arg0: AnyRef): Boolean

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )
  10. final def getClass(): Class[_]

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  11. def hashCode(): Int

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  12. def initBeta(name: String, arr: NDArray): Unit

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    protected
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  13. def initBias(name: String, arr: NDArray): Unit

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  14. def initBilinear(name: String, arr: NDArray): Unit

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  15. def initDefault(name: String, arr: NDArray): Unit

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  16. def initGamma(name: String, arr: NDArray): Unit

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  17. def initWeight(name: String, arr: NDArray): Unit

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    NormalInitializer
  18. def initZero(name: String, arr: NDArray): Unit

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  19. final def isInstanceOf[T0]: Boolean

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

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  21. final def notify(): Unit

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  22. final def notifyAll(): Unit

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  23. val sigma: Float

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    Standard deviation for gaussian distribution.

    Standard deviation for gaussian distribution.

    Attributes
    protected
  24. final def synchronized[T0](arg0: ⇒ T0): T0

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  25. def toString(): String

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  26. final def wait(): Unit

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

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

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