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com.thoughtworks.deeplearning

DifferentiableAny

object DifferentiableAny

A namespace of common operators for any layers.

After importing DifferentiableAny._, the following methods will be available on any layers.

Author:

杨博 (Yang Bo) <pop.atry@gmail.com>

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Type Members

  1. final class AnyLayerOps [Input <: Tape, OutputData, OutputDelta] extends AnyRef

    A helper that contains common operations for any layers.

    A helper that contains common operations for any layers.

    Example: 

    1. import com.thoughtworks.deeplearning.DifferentiableAny._
(input:INDArray @Symbolic).compose(anotherLayer)
  2. type ExistentialNothing = T forSome {type T <: Nothing}
  3. trait Trainable [-Data, +Delta] extends AnyRef

    A type class that makes result of forward as input of backward.

    A type class that makes result of forward as input of backward. To train a layer, a implement of Trainable has parameterized with types of the layer's Input and Output is required.

    See also

    This type class is required by train.

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. implicit def anyToLiteral: Aux[Any, Any, ExistentialNothing]
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  7. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  8. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  9. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  10. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
  11. def hashCode(): Int
    Definition Classes
    AnyRef → Any
  12. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  13. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  14. final def notify(): Unit
    Definition Classes
    AnyRef
  15. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  16. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  17. implicit def toAnyLayerOps[A, Input <: Tape, OutputData, OutputDelta](a: A)(implicit toLayer: Aux[A, Input, OutputData, OutputDelta]): AnyLayerOps[Input, OutputData, OutputDelta]

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

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

    Example: 

    1. import com.thoughtworks.deeplearning.DifferentiableAny._
  18. def toString(): String
    Definition Classes
    AnyRef → Any
  19. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  20. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  21. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  22. object Layers

Inherited from AnyRef

Inherited from Any

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