Trait

com.thoughtworks.deeplearning.plugins.Builtins

ImplicitsApi

Related Doc: package Builtins

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trait ImplicitsApi extends Builtins.ImplicitsApi with Builtins.ImplicitsApi with Builtins.ImplicitsApi with Builtins.ImplicitsApi with Builtins.ImplicitsApi with Builtins.ImplicitsApi with Builtins.ImplicitsApi with Builtins.ImplicitsApi with Builtins.ImplicitsApi with Builtins.ImplicitsApi with Builtins.ImplicitsApi with Builtins.ImplicitsApi

Source
Builtins.scala
Linear Supertypes
Builtins.ImplicitsApi, Builtins.ImplicitsApi, Builtins.ImplicitsApi, Builtins.ImplicitsApi, Builtins.ImplicitsApi, Builtins.ImplicitsApi, DoubleInstances, Builtins.ImplicitsApi, Builtins.ImplicitsApi, Builtins.ImplicitsApi, FloatInstances, Builtins.ImplicitsApi, ToDeepLearningOps, Builtins.ImplicitsApi, Builtins.ImplicitsApi, Builtins.ImplicitsApi, AnyRef, Any
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  1. ImplicitsApi
  2. ImplicitsApi
  3. ImplicitsApi
  4. ImplicitsApi
  5. ImplicitsApi
  6. ImplicitsApi
  7. ImplicitsApi
  8. DoubleInstances
  9. ImplicitsApi
  10. ImplicitsApi
  11. ImplicitsApi
  12. FloatInstances
  13. ImplicitsApi
  14. ToDeepLearningOps
  15. ImplicitsApi
  16. ImplicitsApi
  17. ImplicitsApi
  18. AnyRef
  19. Any
Implicitly
  1. by any2stringadd
  2. by StringFormat
  3. by Ensuring
  4. by ArrowAssoc
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Type Members

  1. implicit final class DoubleLayerOps[Operand0] extends AnyRef

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    ImplicitsApi

  2. implicit final class FloatLayerOps[Operand0] extends AnyRef

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  3. implicit final class INDArrayLayerOps[Operand0] extends AnyRef

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  4. implicit final class PolymorphicOps[Operand0] extends AnyRef

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Value Members

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

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  2. final def ##(): Int

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  3. def +(other: String): String

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    Implicit information
    This member is added by an implicit conversion from ImplicitsApi to any2stringadd[ImplicitsApi] performed by method any2stringadd in scala.Predef.
    Definition Classes
    any2stringadd

  4. def ->[B](y: B): (ImplicitsApi, B)

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    Implicit information
    This member is added by an implicit conversion from ImplicitsApi to ArrowAssoc[ImplicitsApi] performed by method ArrowAssoc in scala.Predef.
    Definition Classes
    ArrowAssoc
    Annotations
    @inline()

  5. final def ==(arg0: Any): Boolean

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  6. implicit def Double*Double[Operand0, Operand1, Out <: Builtins.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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  7. implicit def Double*INDArray[Operand0, Operand1, Out <: Builtins.INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], deepLearning1: DeepLearning.Aux[Operand1, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.*.Case[Operand0, Operand1] { type Result = Out }

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  8. implicit def Double+Double[Operand0, Operand1, Out <: Builtins.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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  9. implicit def Double+INDArray[Operand0, Operand1, Out <: Builtins.INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], deepLearning1: DeepLearning.Aux[Operand1, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.+.Case[Operand0, Operand1] { type Result = Out }

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  10. implicit def Double-Double[Operand0, Operand1, Out <: Builtins.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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  11. implicit def Double-INDArray[Operand0, Operand1, Out <: Builtins.INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], deepLearning1: DeepLearning.Aux[Operand1, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.-.Case[Operand0, Operand1] { type Result = Out }

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  12. implicit def Double/Double[Operand0, Operand1, Out <: Builtins.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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  13. implicit def Double/INDArray[Operand0, Operand1, Out <: Builtins.INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], deepLearning1: DeepLearning.Aux[Operand1, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators./.Case[Operand0, Operand1] { type Result = Out }

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  14. implicit final val DoubleAlgebra: DoubleAlgebra

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  15. implicit final val DoubleTag: BuiltinFloatTag[Double]

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    DoubleInstances

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

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  17. implicit def Float+Float[Operand0, Operand1, Out <: Builtins.FloatLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Float, Float], deepLearning1: DeepLearning.Aux[Operand1, Float, Float], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.+.Case[Operand0, Operand1] { type Result = Out }

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  18. implicit def Float-Float[Operand0, Operand1, Out <: Builtins.FloatLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Float, Float], deepLearning1: DeepLearning.Aux[Operand1, Float, Float], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.-.Case[Operand0, Operand1] { type Result = Out }

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  19. implicit def Float/Float[Operand0, Operand1, Out <: Builtins.FloatLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Float, Float], deepLearning1: DeepLearning.Aux[Operand1, Float, Float], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators./.Case[Operand0, Operand1] { type Result = Out }

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  20. implicit final val FloatAlgebra: FloatAlgebra

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  21. implicit final val FloatTag: BuiltinFloatTag[Float]

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  22. implicit def INDArray*Double[Operand0, Operand1, Out <: Builtins.INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], deepLearning1: DeepLearning.Aux[Operand1, Double, Double], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.*.Case[Operand0, Operand1] { type Result = Out }

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  23. implicit def INDArray*INDArray[Operand0, Operand1, Out <: Builtins.INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], deepLearning1: DeepLearning.Aux[Operand1, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.*.Case[Operand0, Operand1] { type Result = Out }

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  24. implicit def INDArray+Double[Operand0, Operand1, Out <: Builtins.INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], deepLearning1: DeepLearning.Aux[Operand1, Double, Double], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.+.Case[Operand0, Operand1] { type Result = Out }

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  25. implicit def INDArray+INDArray[Operand0, Operand1, Out <: Builtins.INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], deepLearning1: DeepLearning.Aux[Operand1, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.+.Case[Operand0, Operand1] { type Result = Out }

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  26. implicit def INDArray-Double[Operand0, Operand1, Out <: Builtins.INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], deepLearning1: DeepLearning.Aux[Operand1, Double, Double], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.-.Case[Operand0, Operand1] { type Result = Out }

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  27. implicit def INDArray-INDArray[Operand0, Operand1, Out <: Builtins.INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], deepLearning1: DeepLearning.Aux[Operand1, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.-.Case[Operand0, Operand1] { type Result = Out }

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  28. implicit def INDArray/Double[Operand0, Operand1, Out <: Builtins.INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], deepLearning1: DeepLearning.Aux[Operand1, Double, Double], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators./.Case[Operand0, Operand1] { type Result = Out }

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  29. implicit def INDArray/INDArray[Operand0, Operand1, Out <: Builtins.INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], deepLearning1: DeepLearning.Aux[Operand1, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators./.Case[Operand0, Operand1] { type Result = Out }

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  30. implicit def abs(Double)[Operand0, Out <: Builtins.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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  31. implicit def abs(Float)[Operand0, Out <: Builtins.FloatLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Float, Float], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.abs.Case[Operand0] { type Result = Out }

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  32. implicit def abs(INDArray)[Operand0, Out <: Builtins.INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.abs.Case[Operand0] { type Result = Out }

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  33. final def asInstanceOf[T0]: T0

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  34. def clone(): AnyRef

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    @throws( ... )

  35. implicit def doubleLiteralDeepLearning: DeepLearning.Aux[Double, Double, Double]

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  36. def ensuring(cond: (ImplicitsApi) ⇒ Boolean, msg: ⇒ Any): ImplicitsApi

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    Implicit information
    This member is added by an implicit conversion from ImplicitsApi to Ensuring[ImplicitsApi] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring

  37. def ensuring(cond: (ImplicitsApi) ⇒ Boolean): ImplicitsApi

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    Implicit information
    This member is added by an implicit conversion from ImplicitsApi to Ensuring[ImplicitsApi] performed by method Ensuring in scala.Predef.
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    Ensuring

  38. def ensuring(cond: Boolean, msg: ⇒ Any): ImplicitsApi

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    Implicit information
    This member is added by an implicit conversion from ImplicitsApi to Ensuring[ImplicitsApi] performed by method Ensuring in scala.Predef.
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    Ensuring

  39. def ensuring(cond: Boolean): ImplicitsApi

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    This member is added by an implicit conversion from ImplicitsApi to Ensuring[ImplicitsApi] performed by method Ensuring in scala.Predef.
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    Ensuring

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

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  41. def equals(arg0: Any): Boolean

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  42. implicit def exp(Double)[Operand0, Out <: Builtins.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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  43. implicit def exp(Float)[Operand0, Out <: Builtins.FloatLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Float, Float], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.exp.Case[Operand0] { type Result = Out }

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  44. implicit def exp(INDArray)[Operand0, Out <: Builtins.INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.exp.Case[Operand0] { type Result = Out }

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  45. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

  46. implicit def floatLiteralDeepLearning: DeepLearning.Aux[Float, Float, Float]

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  47. def formatted(fmtstr: String): String

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    This member is added by an implicit conversion from ImplicitsApi to StringFormat[ImplicitsApi] performed by method StringFormat in scala.Predef.
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    Annotations
    @inline()

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

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  49. def hashCode(): Int

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  50. implicit def indArrayLiteralDeepLearning: DeepLearning.Aux[INDArray, INDArray, INDArray]

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  51. implicit final def indArrayMultiplicativeMonoid: MultiplicativeMonoid[INDArray]

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  52. final def isInstanceOf[T0]: Boolean

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  53. implicit def layerDeepLearning[From, Data0, Delta0](implicit asLayer: <:<[From, Layers.Layer.Aux[Data0, Delta0]]): DeepLearning.Aux[From, Data0, Delta0]

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  54. implicit def log(Double)[Operand0, Out <: Builtins.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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  55. implicit def log(Float)[Operand0, Out <: Builtins.FloatLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Float, Float], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.log.Case[Operand0] { type Result = Out }

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  56. implicit def log(INDArray)[Operand0, Out <: Builtins.INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.log.Case[Operand0] { type Result = Out }

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  57. implicit def max(Double,Double)[Operand0, Operand1, Out <: Builtins.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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  58. implicit def max(Double,INDArray)[Operand0, Operand1, Out <: Builtins.INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], deepLearning1: DeepLearning.Aux[Operand1, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.max.Case[Operand0, Operand1] { type Result = Out }

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  59. implicit def max(Float,Float)[Operand0, Operand1, Out <: Builtins.FloatLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Float, Float], deepLearning1: DeepLearning.Aux[Operand1, Float, Float], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.max.Case[Operand0, Operand1] { type Result = Out }

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  60. implicit def max(INDArray,Double)[Operand0, Operand1, Out <: Builtins.INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], deepLearning1: DeepLearning.Aux[Operand1, Double, Double], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.max.Case[Operand0, Operand1] { type Result = Out }

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  61. implicit def max(INDArray,INDArray)[Operand0, Operand1, Out <: Builtins.INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], deepLearning1: DeepLearning.Aux[Operand1, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.max.Case[Operand0, Operand1] { type Result = Out }

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  62. implicit def min(Double,Double)[Operand0, Operand1, Out <: Builtins.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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  63. implicit def min(Double,INDArray)[Operand0, Operand1, Out <: Builtins.INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], deepLearning1: DeepLearning.Aux[Operand1, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.min.Case[Operand0, Operand1] { type Result = Out }

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  64. implicit def min(Float,Float)[Operand0, Operand1, Out <: Builtins.FloatLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Float, Float], deepLearning1: DeepLearning.Aux[Operand1, Float, Float], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.min.Case[Operand0, Operand1] { type Result = Out }

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  65. implicit def min(INDArray,Double)[Operand0, Operand1, Out <: Builtins.INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], deepLearning1: DeepLearning.Aux[Operand1, Double, Double], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.min.Case[Operand0, Operand1] { type Result = Out }

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  66. implicit def min(INDArray,INDArray)[Operand0, Operand1, Out <: Builtins.INDArrayLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, INDArray, INDArray], deepLearning1: DeepLearning.Aux[Operand1, INDArray, INDArray], layerImplicits: feature.ImplicitApply.Aux[Rest, Out]): Operators.min.Case[Operand0, Operand1] { type Result = Out }

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

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  68. final def notify(): Unit

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  69. final def notifyAll(): Unit

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

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  71. implicit def toDeepLearningOps[Differentiable](target: Differentiable)(implicit tc: DeepLearning[Differentiable]): Ops[Differentiable] { type TypeClassType = com.thoughtworks.deeplearning.DeepLearning[Differentiable]{type Data = tc.Data; type Delta = tc.Delta} }

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    @SuppressWarnings()

  72. def toString(): String

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  73. final def wait(): Unit

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

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

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  76. implicit def weightDeepLearning[SubtypeOfWeight, Optimizer0 <: Builtins.Optimizer, Data0, Delta0, OptimizerConstructor, WeightParameter, WeightRest, OriginalDeltaParameter, OriginalDeltaRest, SubtypeOfOptimizer](implicit asWeight: <:<[SubtypeOfWeight, Weights.Weight.Aux[Optimizer0, Data0, Delta0]], factory: feature.Factory.Aux[Optimizer0, OptimizerConstructor], partialApplyWeight: feature.PartialApply.Aux[OptimizerConstructor, String("weight"), WeightParameter, WeightRest], asWeightParameter: <:<[SubtypeOfWeight, WeightParameter], partialApplyOriginalDelta: feature.PartialApply.Aux[WeightRest, String("originalDelta"), OriginalDeltaParameter, OriginalDeltaRest], asOriginalDeltaParameter: <:<[Delta0, OriginalDeltaParameter], implicitApplyRest: feature.ImplicitApply.Aux[OriginalDeltaRest, SubtypeOfOptimizer], asOptimizer: <:<[SubtypeOfOptimizer, Optimizer0]): DeepLearning.Aux[SubtypeOfWeight, Data0, Delta0]

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  77. def →[B](y: B): (ImplicitsApi, B)

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    Implicit information
    This member is added by an implicit conversion from ImplicitsApi to ArrowAssoc[ImplicitsApi] performed by method ArrowAssoc in scala.Predef.
    Definition Classes
    ArrowAssoc

Inherited from Builtins.ImplicitsApi

Inherited from Builtins.ImplicitsApi

Inherited from Builtins.ImplicitsApi

Inherited from Builtins.ImplicitsApi

Inherited from Builtins.ImplicitsApi

Inherited from Builtins.ImplicitsApi

Inherited from DoubleInstances

Inherited from Builtins.ImplicitsApi

Inherited from Builtins.ImplicitsApi

Inherited from Builtins.ImplicitsApi

Inherited from FloatInstances

Inherited from Builtins.ImplicitsApi

Inherited from ToDeepLearningOps

Inherited from Builtins.ImplicitsApi

Inherited from Builtins.ImplicitsApi

Inherited from Builtins.ImplicitsApi

Inherited from AnyRef

Inherited from Any

Inherited by implicit conversion any2stringadd from ImplicitsApi to any2stringadd[ImplicitsApi]

Inherited by implicit conversion StringFormat from ImplicitsApi to StringFormat[ImplicitsApi]

Inherited by implicit conversion Ensuring from ImplicitsApi to Ensuring[ImplicitsApi]

Inherited by implicit conversion ArrowAssoc from ImplicitsApi to ArrowAssoc[ImplicitsApi]

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