Type

com.thoughtworks.deeplearning.plugins.DoubleLayers

Implicits

Related Doc: package DoubleLayers

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abstract type Implicits <: ImplicitsApi

Definition Classes
DoubleLayersLayers
Source
FloatLayers.scala
Linear Supertypes
DoubleLayers.ImplicitsApi, AnyRef, Any
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Type Members

  1. implicit final class DoubleLayerOps[Operand0] extends AnyRef

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    An implicit wrapper that adds extension methods for differentiable double types that support the DeepLearning type class.

    An implicit wrapper that adds extension methods for differentiable double types that support the DeepLearning type class.

    Definition Classes
    ImplicitsApi

Value Members

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

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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

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  4. implicit def Double*Double[Operand0, Operand1, Out <: DoubleLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], deepLearning1: DeepLearning.Aux[Operand1, Double, Double], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.*.Case[Operand0, Operand1] { type Result = Out }

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    Definition Classes
    ImplicitsApi
  5. implicit def Double+Double[Operand0, Operand1, Out <: DoubleLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], deepLearning1: DeepLearning.Aux[Operand1, Double, Double], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.+.Case[Operand0, Operand1] { type Result = Out }

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    Definition Classes
    ImplicitsApi
  6. implicit def Double-Double[Operand0, Operand1, Out <: DoubleLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], deepLearning1: DeepLearning.Aux[Operand1, Double, Double], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.-.Case[Operand0, Operand1] { type Result = Out }

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    Definition Classes
    ImplicitsApi
  7. implicit def Double/Double[Operand0, Operand1, Out <: DoubleLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], deepLearning1: DeepLearning.Aux[Operand1, Double, Double], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators./.Case[Operand0, Operand1] { type Result = Out }

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    Definition Classes
    ImplicitsApi
  8. implicit def abs(Double)[Operand0, Out <: DoubleLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.abs.Case[Operand0] { type Result = Out }

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    Definition Classes
    ImplicitsApi
  9. final def asInstanceOf[T0]: T0

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  10. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  11. implicit def eagerDoubleDsl[Differentiable, Data, Delta, Constructor, Out <: DoubleLayer](implicit implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Dsl[Eager[Differentiable, Data, Delta], DoubleLayer, Data]

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    Definition Classes
    ImplicitsApi
  12. final def eq(arg0: AnyRef): Boolean

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    AnyRef
  13. def equals(arg0: Any): Boolean

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  14. implicit def exp(Double)[Operand0, Out <: DoubleLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.exp.Case[Operand0] { type Result = Out }

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    Definition Classes
    ImplicitsApi
  15. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  16. final def getClass(): Class[_]

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  17. def hashCode(): Int

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  18. implicit def implicitEager[Operand0](a: Operand0)(implicit deepLearning: DeepLearning[Operand0]): Eager[Operand0, Data, Delta]

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    ImplicitsApi
    Annotations
    @inline()
  19. final def isInstanceOf[T0]: Boolean

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    Any
  20. implicit def layerDeepLearning[From, Data0, Delta0](implicit asLayer: <:<[From, LayerApi { ... /* 2 definitions in type refinement */ }]): DeepLearning.Aux[From, Data0, Delta0]

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    Definition Classes
    ImplicitsApi
  21. implicit def log(Double)[Operand0, Out <: DoubleLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.log.Case[Operand0] { type Result = Out }

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    Definition Classes
    ImplicitsApi
  22. implicit def max(Double,Double)[Operand0, Operand1, Out <: DoubleLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], deepLearning1: DeepLearning.Aux[Operand1, Double, Double], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.max.Case[Operand0, Operand1] { type Result = Out }

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    Definition Classes
    ImplicitsApi
  23. implicit def min(Double,Double)[Operand0, Operand1, Out <: DoubleLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], deepLearning1: DeepLearning.Aux[Operand1, Double, Double], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.min.Case[Operand0, Operand1] { type Result = Out }

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    Definition Classes
    ImplicitsApi
  24. final def ne(arg0: AnyRef): Boolean

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  25. final def notify(): Unit

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  26. final def notifyAll(): Unit

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  27. implicit def pow(Double,Double)[Operand0, Operand1, Out <: DoubleLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], deepLearning1: DeepLearning.Aux[Operand1, Double, Double], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.pow.Case[Operand0, Operand1] { type Result = Out }

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    Definition Classes
    ImplicitsApi
  28. implicit def sqrt(Double)[Operand0, Out <: DoubleLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.sqrt.Case[Operand0] { type Result = Out }

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    Definition Classes
    ImplicitsApi
  29. final def synchronized[T0](arg0: ⇒ T0): T0

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  30. def toString(): String

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  31. final def wait(): Unit

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    @throws( ... )
  32. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  33. final def wait(arg0: Long): Unit

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    @throws( ... )

Inherited from DoubleLayers.ImplicitsApi

Inherited from AnyRef

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