Packages

abstract type Implicits <: ImplicitsApi

Definition Classes
DoubleLayers → Layers
Source
FloatLayers.scala
Linear Supertypes
DoubleLayers.ImplicitsApi, AnyRef, Any
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  2. ImplicitsApi
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Type Members

  1. implicit final class DoubleLayerOps [Operand0] extends AnyRef

    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
    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 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 }
    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 }
    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 }
    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 }
    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 }
    Definition Classes
    ImplicitsApi
  9. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  10. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  11. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  12. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  13. 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 }
    Definition Classes
    ImplicitsApi
  14. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  15. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
  16. def hashCode(): Int
    Definition Classes
    AnyRef → Any
  17. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  18. implicit def layerDeepLearning[From, Data0, Delta0](implicit asLayer: <:<[From, LayerApi { ... /* 2 definitions in type refinement */ }]): DeepLearning.Aux[From, Data0, Delta0]
    Definition Classes
    ImplicitsApi
  19. 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 }
    Definition Classes
    ImplicitsApi
  20. 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 }
    Definition Classes
    ImplicitsApi
  21. 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 }
    Definition Classes
    ImplicitsApi
  22. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  23. final def notify(): Unit
    Definition Classes
    AnyRef
  24. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  25. 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 }
    Definition Classes
    ImplicitsApi
  26. 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 }
    Definition Classes
    ImplicitsApi
  27. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  28. def toString(): String
    Definition Classes
    AnyRef → Any
  29. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  30. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  31. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from DoubleLayers.ImplicitsApi

Inherited from AnyRef

Inherited from Any

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