Class

com.intel.analytics.bigdl.optim.SGD

NaturalExp

Related Doc: package SGD

Permalink

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
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. NaturalExp
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. LearningRateSchedule
  7. AnyRef
  8. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

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

    Permalink

    decay_step

    how often to apply decay

    gamma

    the decay rate. e.g. 0.96

Value Members

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

    Permalink
    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

    Permalink
    Definition Classes
    AnyRef → Any

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

    Permalink
    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

    Permalink
    Definition Classes
    Any

  5. def clone(): AnyRef

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

  6. var currentRate: Double

    Permalink
    Definition Classes
    LearningRateSchedule

  7. val decay_step: Int

    Permalink

    how often to apply decay

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

    Permalink
    Definition Classes
    AnyRef

  9. def finalize(): Unit

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

  10. val gamma: Double

    Permalink

    the decay rate.

    the decay rate. e.g. 0.96

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

    Permalink
    Definition Classes
    AnyRef → Any

  12. final def isInstanceOf[T0]: Boolean

    Permalink
    Definition Classes
    Any

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

    Permalink
    Definition Classes
    AnyRef

  14. final def notify(): Unit

    Permalink
    Definition Classes
    AnyRef

  15. final def notifyAll(): Unit

    Permalink
    Definition Classes
    AnyRef

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

    Permalink
    Definition Classes
    AnyRef

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

    Permalink

    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

  18. final def wait(): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Deprecated Value Members

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

    Permalink
    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

Ungrouped