kr.ac.kaist.ir.deep.train.style

SingleThreadTrainStyle

class SingleThreadTrainStyle[IN] extends TrainStyle[IN]

Trainer : Stochastic-Style, Single-Threaded

Linear Supertypes
TrainStyle[IN], Serializable, Serializable, AnyRef, Any
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  1. SingleThreadTrainStyle
  2. TrainStyle
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  4. Serializable
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Instance Constructors

  1. new SingleThreadTrainStyle(net: Network, algorithm: WeightUpdater, param: TrainingCriteria = ...)

    net

    Network to be trained

    algorithm

    Weight update algorithm to be applied

    param

    Training criteria (default: kr.ac.kaist.ir.deep.train.SimpleTrainingCriteria)

Type Members

  1. type Pair = (IN, ScalarMatrix)

    Training Pair Type

    Training Pair Type

    Definition Classes
    TrainStyle

  2. implicit class WeightOp extends Serializable

    Implicit weight operation

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. val algorithm: WeightUpdater

    Weight update algorithm to be applied

    Weight update algorithm to be applied

    Attributes
    protected[kr.ac.kaist.ir.deep.train]
    Definition Classes
    SingleThreadTrainStyle → TrainStyle

  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  8. def batch(op: InputOp[IN]): Unit

    Do mini-batch

    Do mini-batch

    op

    Set of input operations

    Attributes
    protected[kr.ac.kaist.ir.deep.train]
    Definition Classes
    SingleThreadTrainStyle → TrainStyle

  9. def clone(): AnyRef

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

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

    Definition Classes
    AnyRef

  11. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  12. def fetch(iter: Int): Unit

    Fetch weights

    Fetch weights

    iter

    current iteration

    Attributes
    protected[kr.ac.kaist.ir.deep.train]
    Definition Classes
    SingleThreadTrainStyle → TrainStyle

  13. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  15. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  16. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    AnyRef

  18. val net: Network

    Network to be trained

    Network to be trained

    Attributes
    protected[kr.ac.kaist.ir.deep.train]
    Definition Classes
    SingleThreadTrainStyle → TrainStyle

  19. final def notify(): Unit

    Definition Classes
    AnyRef

  20. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  21. val param: TrainingCriteria

    Training criteria (default: kr.ac.kaist.ir.deep.train.SimpleTrainingCriteria)

    Training criteria (default: kr.ac.kaist.ir.deep.train.SimpleTrainingCriteria)

    Attributes
    protected[kr.ac.kaist.ir.deep.train]
    Definition Classes
    SingleThreadTrainStyle → TrainStyle

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

    Definition Classes
    AnyRef

  23. def toString(): String

    Definition Classes
    AnyRef → Any

  24. var trainingSet: (Int) ⇒ Seq[(IN, ScalarMatrix)]

    Training Set

    Training Set

    Attributes
    protected[kr.ac.kaist.ir.deep.train]
    Definition Classes
    TrainStyle

  25. def update(iter: Int): Unit

    Send update of weights

    Send update of weights

    iter

    current iteration

    Attributes
    protected[kr.ac.kaist.ir.deep.train]
    Definition Classes
    SingleThreadTrainStyle → TrainStyle

  26. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from TrainStyle[IN]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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