Class

org.apache.mxnet.optimizer

AdaDelta

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class AdaDelta extends Optimizer

AdaDelta optimizer as described in Matthew D. Zeiler, 2012. http://arxiv.org/abs/1212.5701

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Optimizer, Serializable, AnyRef, Any
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Instance Constructors

  1. new AdaDelta(rho: Float = 0.05f, rescaleGradient: Float = 1.0f, epsilon: Float = 1e-8f, wd: Float = 0.0f, clipGradient: Float = 0f)

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    rho

    Decay rate for both squared gradients and delta x.

    rescaleGradient

    rescaling factor of gradient.

    epsilon

    The constant as described in the thesis

    wd

    L2 regularization coefficient add to all the weights

    clipGradient

    clip gradient in range [-clip_gradient, clip_gradient]

Value Members

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

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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

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    Definition Classes
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  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  6. def createState(index: Int, weight: NDArray): (NDArray, NDArray)

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    Definition Classes
    AdaDeltaOptimizer
  7. def deserializeState(bytes: Array[Byte]): AnyRef

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    Definition Classes
    AdaDeltaOptimizer
  8. def disposeState(state: AnyRef): Unit

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    Definition Classes
    AdaDeltaOptimizer
  9. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  10. def equals(arg0: Any): Boolean

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    Definition Classes
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  11. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
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    @throws( classOf[java.lang.Throwable] )
  12. final def getClass(): Class[_]

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    Definition Classes
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  13. def getLr(index: Int, lr: Float): Float

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    Attributes
    protected
    Definition Classes
    Optimizer
  14. def getWd(index: Int, wd: Float): Float

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    Attributes
    protected
    Definition Classes
    Optimizer
  15. def hashCode(): Int

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    Definition Classes
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  16. var idx2name: Map[Int, String]

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    Attributes
    protected
    Definition Classes
    Optimizer
  17. val indexUpdateCount: Map[Int, Int]

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    Attributes
    protected
    Definition Classes
    Optimizer
  18. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  19. val lrMult: Map[Either[Int, String], Float]

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    Attributes
    protected
    Definition Classes
    Optimizer
  20. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
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  21. final def notify(): Unit

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    Definition Classes
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  22. final def notifyAll(): Unit

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    Definition Classes
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  23. var numUpdate: Int

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    Attributes
    protected
    Definition Classes
    Optimizer
  24. var rescaleGrad: Float

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    Attributes
    protected
    Definition Classes
    Optimizer
  25. def serializeState(state: AnyRef): Array[Byte]

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    Definition Classes
    AdaDeltaOptimizer
  26. def setArgNames(argNames: Seq[String]): Unit

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    Definition Classes
    Optimizer
  27. def setIdx2Name(paramIdx2Name: Map[Int, String]): Unit

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    Definition Classes
    Optimizer
  28. def setLrMult(argsLrMult: Map[Either[Int, String], Float]): Unit

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    Sets an individual learning rate multiplier for each parameter.

    Sets an individual learning rate multiplier for each parameter. If you specify a learning rate multiplier for a parameter, then the learning rate for the parameter will be set as the product of the global learning rate and its multiplier. note:: The default learning rate multiplier of a Variable can be set with lr_mult argument in the constructor.

    Definition Classes
    Optimizer
  29. def setRescaleGrad(rescaleGrad: Float): Unit

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    Definition Classes
    Optimizer
  30. def setSymbol(sym: Symbol): Unit

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    Definition Classes
    Optimizer
  31. def setWdMult(argsWdMult: Map[Either[Int, String], Float]): Unit

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    Sets an individual weight decay multiplier for each parameter.

    Sets an individual weight decay multiplier for each parameter.

    By default, the weight decay multipler is set as 0 for all parameters whose name don't end with _weight or _gamma, if you call the setIdx2Name method to set idx2name.

    note:: The default weight decay multiplier for a Variable can be set with its wd_mult argument in the constructor.

    Definition Classes
    Optimizer
  32. var specialized: Boolean

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    Attributes
    protected
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    Optimizer
  33. var symbol: Symbol

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    protected
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    Optimizer
  34. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  35. def toString(): String

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    Definition Classes
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  36. def update(index: Int, weight: NDArray, grad: NDArray, state: AnyRef): Unit

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    Update the parameters.

    Update the parameters.

    index

    An unique integer key used to index the parameters

    weight

    weight ndarray

    grad

    grad ndarray

    state

    NDArray or other objects returned by initState The auxiliary state used in optimization.

    Definition Classes
    AdaDeltaOptimizer
  37. def updateCount(index: Int): Unit

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    update num_update

    update num_update

    index

    The index will be updated

    Attributes
    protected
    Definition Classes
    Optimizer
  38. final def wait(): Unit

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    Definition Classes
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    Annotations
    @throws( ... )
  39. final def wait(arg0: Long, arg1: Int): Unit

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

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    @throws( ... )
  41. val wdMult: Map[Either[Int, String], Float]

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    Attributes
    protected
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    Optimizer
  42. val weightSet: Set[Int]

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    Attributes
    protected
    Definition Classes
    Optimizer

Deprecated Value Members

  1. def setLrScale(lrScale: Map[Int, Float]): Unit

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    Definition Classes
    Optimizer
    Annotations
    @deprecated
    Deprecated

    (Since version 0.10.0) Use setLrMult instead.

Inherited from Optimizer

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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