Packages

abstract type Implicits <: ImplicitsApi

Definition Classes
Builtins → DoubleLayers → DoubleLiterals → DoubleTraining → FloatLayers → FloatLiterals → FloatTraining → Training → Operators → Names → Logging → Weights → Layers → ImplicitsSingleton
Source
Builtins.scala
Linear Supertypes
Builtins.ImplicitsApi, Builtins.ImplicitsApi, Builtins.ImplicitsApi, DoubleInstances, DoubleInstances, Builtins.ImplicitsApi, Builtins.ImplicitsApi, Builtins.ImplicitsApi, FloatInstances, FloatInstances, Builtins.ImplicitsApi, ToDeepLearningOps, Builtins.ImplicitsApi, Builtins.ImplicitsApi, Builtins.ImplicitsApi, AnyRef, Any
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Inherited
  1. Implicits
  2. ImplicitsApi
  3. ImplicitsApi
  4. ImplicitsApi
  5. DoubleInstances
  6. DoubleInstances
  7. ImplicitsApi
  8. ImplicitsApi
  9. ImplicitsApi
  10. FloatInstances
  11. FloatInstances
  12. ImplicitsApi
  13. ToDeepLearningOps
  14. ImplicitsApi
  15. ImplicitsApi
  16. ImplicitsApi
  17. AnyRef
  18. Any
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Visibility
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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
  2. implicit final class FloatLayerOps [Operand0] extends AnyRef

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

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

    Definition Classes
    ImplicitsApi
  3. implicit final class PolymorphicOps [Operand0] extends AnyRef

    An implicit wrapper that adds extension methods of common mathematics operations.

    An implicit wrapper that adds extension methods of common mathematics operations.

    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 <: DoubleLayers.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 <: DoubleLayers.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 <: DoubleLayers.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 <: DoubleLayers.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. val DoubleMinMaxLattice: DistributiveLattice[Double]
    Definition Classes
    DoubleInstances
  9. implicit def Float*Float[Operand0, Operand1, Out <: FloatLayers.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 }
    Definition Classes
    ImplicitsApi
  10. implicit def Float+Float[Operand0, Operand1, Out <: FloatLayers.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 }
    Definition Classes
    ImplicitsApi
  11. implicit def Float-Float[Operand0, Operand1, Out <: FloatLayers.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 }
    Definition Classes
    ImplicitsApi
  12. implicit def Float/Float[Operand0, Operand1, Out <: FloatLayers.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 }
    Definition Classes
    ImplicitsApi
  13. val FloatMinMaxLattice: DistributiveLattice[Float]
    Definition Classes
    FloatInstances
  14. implicit def abs(Double)[Operand0, Out <: DoubleLayers.DoubleLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.abs.Case[Operand0] { type Result = Out }
    Definition Classes
    ImplicitsApi
  15. implicit def abs(Float)[Operand0, Out <: FloatLayers.FloatLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Float, Float], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.abs.Case[Operand0] { type Result = Out }
    Definition Classes
    ImplicitsApi
  16. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  17. implicit val catsKernelStdGroupForDouble: CommutativeGroup[Double]
    Definition Classes
    DoubleInstances
  18. implicit val catsKernelStdGroupForFloat: CommutativeGroup[Float]
    Definition Classes
    FloatInstances
  19. implicit val catsKernelStdOrderForDouble: Order[Double]
    Definition Classes
    DoubleInstances
  20. implicit val catsKernelStdOrderForFloat: Order[Float]
    Definition Classes
    FloatInstances
  21. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  22. implicit val doubleAlgebra: Field[Double]
    Definition Classes
    DoubleInstances
  23. implicit def doubleLiteralDeepLearning: DeepLearning.Aux[Double, Double, Double]
    Definition Classes
    ImplicitsApi
  24. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  25. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  26. implicit def exp(Double)[Operand0, Out <: DoubleLayers.DoubleLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.exp.Case[Operand0] { type Result = Out }
    Definition Classes
    ImplicitsApi
  27. implicit def exp(Float)[Operand0, Out <: FloatLayers.FloatLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Float, Float], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.exp.Case[Operand0] { type Result = Out }
    Definition Classes
    ImplicitsApi
  28. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  29. implicit val floatAlgebra: Field[Float]
    Definition Classes
    FloatInstances
  30. implicit def floatLiteralDeepLearning: DeepLearning.Aux[Float, Float, Float]
    Definition Classes
    ImplicitsApi
  31. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
  32. def hashCode(): Int
    Definition Classes
    AnyRef → Any
  33. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  34. implicit def layerDeepLearning[From, Data0, Delta0](implicit asLayer: <:<[From, Layers.LayerApi { ... /* 2 definitions in type refinement */ }]): DeepLearning.Aux[From, Data0, Delta0]
    Definition Classes
    ImplicitsApi
  35. implicit def log(Double)[Operand0, Out <: DoubleLayers.DoubleLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.log.Case[Operand0] { type Result = Out }
    Definition Classes
    ImplicitsApi
  36. implicit def log(Float)[Operand0, Out <: FloatLayers.FloatLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Float, Float], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.log.Case[Operand0] { type Result = Out }
    Definition Classes
    ImplicitsApi
  37. implicit def max(Double,Double)[Operand0, Operand1, Out <: DoubleLayers.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
  38. implicit def max(Float,Float)[Operand0, Operand1, Out <: FloatLayers.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 }
    Definition Classes
    ImplicitsApi
  39. implicit def min(Double,Double)[Operand0, Operand1, Out <: DoubleLayers.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
  40. implicit def min(Float,Float)[Operand0, Operand1, Out <: FloatLayers.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 }
    Definition Classes
    ImplicitsApi
  41. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  42. final def notify(): Unit
    Definition Classes
    AnyRef
  43. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  44. implicit def pow(Double,Double)[Operand0, Operand1, Out <: DoubleLayers.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
  45. implicit def pow(Float,Float)[Operand0, Operand1, Out <: FloatLayers.FloatLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Float, Float], deepLearning1: DeepLearning.Aux[Operand1, Float, Float], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.pow.Case[Operand0, Operand1] { type Result = Out }
    Definition Classes
    ImplicitsApi
  46. implicit def sqrt(Double)[Operand0, Out <: DoubleLayers.DoubleLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Double, Double], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.sqrt.Case[Operand0] { type Result = Out }
    Definition Classes
    ImplicitsApi
  47. implicit def sqrt(Float)[Operand0, Out <: FloatLayers.FloatLayer](implicit deepLearning0: DeepLearning.Aux[Operand0, Float, Float], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Operators.sqrt.Case[Operand0] { type Result = Out }
    Definition Classes
    ImplicitsApi
  48. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  49. 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} }
    Definition Classes
    ToDeepLearningOps
    Annotations
    @SuppressWarnings()
  50. def toString(): String
    Definition Classes
    AnyRef → Any
  51. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  52. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  53. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  54. implicit def weightDeepLearning[SubtypeOfWeight, Data0, Delta0, OriginalDeltaRest, SubtypeOfOptimizer](implicit asWeight: <:<[SubtypeOfWeight, Weights.WeightApi { ... /* 3 definitions in type refinement */ }], implicitApplyRest: feature.ImplicitApply.Aux[OriginalDeltaRest, SubtypeOfOptimizer], asOptimizer: <:<[SubtypeOfOptimizer, OptimizerApi { type Delta = Delta0 }]): DeepLearning.Aux[SubtypeOfWeight, Data0, Delta0]
    Definition Classes
    ImplicitsApi

Inherited from Builtins.ImplicitsApi

Inherited from Builtins.ImplicitsApi

Inherited from Builtins.ImplicitsApi

Inherited from DoubleInstances

Inherited from DoubleInstances

Inherited from Builtins.ImplicitsApi

Inherited from Builtins.ImplicitsApi

Inherited from Builtins.ImplicitsApi

Inherited from FloatInstances

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

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