Packages

object DoubleLayer

Source
FloatLayers.scala
Linear Supertypes
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  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  3. final def ==(arg0: Any): Boolean
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  4. def apply(forward: Do[Tape[Double, Double]]): DoubleLayer

    [use case] Returns a DoubleLayer according to the given forward operation.

    [use case]

    Returns a DoubleLayer according to the given forward operation.

    Full Signature

    def apply[Out <: DoubleLayer](forward: Do[Tape[Double, Double]])(implicit implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Out

  5. final def asInstanceOf[T0]: T0
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  6. def binary[Operand0, Operand1, Input0Data, Input0Delta, Input1Data, Input1Delta, Out <: DoubleLayer](operand0: Operand0, operand1: Operand1)(f: (Input0Data, Input1Data) ⇒ (Double, (Double) ⇒ Input0Delta, (Double) ⇒ Input1Delta))(implicit deepLearning0: DeepLearning.Aux[Operand0, Input0Data, Input0Delta], deepLearning1: DeepLearning.Aux[Operand1, Input1Data, Input1Delta], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Out

    Internal helper to create unary DoubleLayer.

  7. def clone(): AnyRef
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  8. final def eq(arg0: AnyRef): Boolean
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  9. def equals(arg0: Any): Boolean
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  10. def finalize(): Unit
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  11. final def getClass(): Class[_]
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  12. def hashCode(): Int
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  13. final def isInstanceOf[T0]: Boolean
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  14. final def ne(arg0: AnyRef): Boolean
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  15. final def notify(): Unit
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  16. final def notifyAll(): Unit
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  17. final def synchronized[T0](arg0: ⇒ T0): T0
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  18. def toString(): String
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  19. def unary[Operand0, Input0Data, Input0Delta, Out <: DoubleLayer](operand0: Operand0)(f: (Input0Data) ⇒ (Double, (Double) ⇒ Input0Delta))(implicit deepLearning0: DeepLearning.Aux[Operand0, Input0Data, Input0Delta], implicitApply: feature.ImplicitApply.Aux[Rest, Out]): Out

    Internal helper to create unary DoubleLayer.

  20. final def wait(): Unit
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  21. final def wait(arg0: Long, arg1: Int): Unit
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  22. final def wait(arg0: Long): Unit
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