Object

com.thoughtworks.deeplearning

DifferentiableSeq

Related Doc: package deeplearning

Permalink

object DifferentiableSeq

A namespace of common operators for Seq layers.

After importing DifferentiableSeq._, the following methods will be available on Seq layers.

Author:

杨博 (Yang Bo) <[email protected]>

Linear Supertypes
AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. DifferentiableSeq
  2. AnyRef
  3. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Type Members

  1. final class SeqLayerOps[Input <: Tape, ElementData, ElementDelta] extends AnyRef

    Permalink

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. object Layers

    Permalink

  5. final def asInstanceOf[T0]: T0

    Permalink
    Definition Classes
    Any

  6. def clone(): AnyRef

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

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

    Permalink
    Definition Classes
    AnyRef

  8. def equals(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any

  9. def finalize(): Unit

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

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

    Permalink
    Definition Classes
    AnyRef → Any

  11. def hashCode(): Int

    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. implicit def seqToLayer[From, Input0 <: Tape, ElementData, ElementDelta](implicit elementToLayer: Aux[From, Input0, ElementData, ElementDelta]): Aux[Seq[From], Input0, Seq[ElementData], (Int, ElementDelta)]

    Permalink

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

    Permalink
    Definition Classes
    AnyRef

  18. implicit def toSeqLayerOps[From, Input <: Tape, SeqData, SeqDelta, ElementData, ElementDelta](from: From)(implicit toLayer: Aux[From, Input, SeqData, SeqDelta], toSeqLayer: <:<[Aux[Input, Aux[SeqData, SeqDelta]], Aux[Input, Aux[Seq[ElementData], (Int, ElementDelta)]]]): SeqLayerOps[Input, ElementData, ElementDelta]

    Permalink

    Implicitly converts any layer to SeqLayerOps, which enables common methods for Seq layers.

    Implicitly converts any layer to SeqLayerOps, which enables common methods for Seq layers.

    Example: 

    1. import com.thoughtworks.deeplearning.DifferentiableSeq._

  19. def toString(): String

    Permalink
    Definition Classes
    AnyRef → Any

  20. final def wait(): Unit

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

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

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

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

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

Inherited from AnyRef

Inherited from Any

Ungrouped