com.intel.analytics.bigdl.optim.SGD

NaturalExp

case class NaturalExp(decay_step: Int, gamma: Double) extends LearningRateSchedule with Product with Serializable

NaturalExp is a learning rate schedule, which rescale the learning rate by exp ( -decay_rate * iter / decay_step ) referring to tensorflow's learning rate decay # natural_exp_decay

decay_step

how often to apply decay

gamma

the decay rate. e.g. 0.96

Linear Supertypes
Serializable, Serializable, Product, Equals, LearningRateSchedule, AnyRef, Any
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  1. NaturalExp
  2. Serializable
  3. Serializable
  4. Product
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  6. LearningRateSchedule
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Instance Constructors

  1. new NaturalExp(decay_step: Int, gamma: Double)

    decay_step

    how often to apply decay

    gamma

    the decay rate. e.g. 0.96

Value Members

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  6. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  7. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  8. var currentRate: Double

    Definition Classes
    LearningRateSchedule

  9. val decay_step: Int

    how often to apply decay

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

    Definition Classes
    AnyRef

  11. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  12. val gamma: Double

    the decay rate.

    the decay rate. e.g. 0.96

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

    Definition Classes
    AnyRef → Any

  14. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    AnyRef

  16. final def notify(): Unit

    Definition Classes
    AnyRef

  17. final def notifyAll(): Unit

    Definition Classes
    AnyRef

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

    Definition Classes
    AnyRef

  19. def updateHyperParameter[T](optimMethod: SGD[T]): Unit

    update learning rate by config table and state table

    update learning rate by config table and state table

    optimMethod

    init optiMethod.

    Definition Classes
    NaturalExp → LearningRateSchedule

  20. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Deprecated Value Members

  1. def updateHyperParameter(config: Table, state: Table): Unit

    Definition Classes
    LearningRateSchedule
    Annotations
    @deprecated
    Deprecated

    (Since version 0.2.0) Please input SGD instead of Table

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from LearningRateSchedule

Inherited from AnyRef

Inherited from Any

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