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com.thoughtworks.deeplearning

BpCoproduct

Related Doc: package deeplearning

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object BpCoproduct

Author:

杨博 (Yang Bo) <[email protected]>

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Type Members

  1. type :++:[Head <: BackPropagationType[_, _], Tail <: BpCoproduct] = BackPropagationType[:+:[DataOf[Head], DataOf[Tail]], :+:[DeltaOf[Head], DeltaOf[Tail]]]

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  2. type BpCCons[Head <: BackPropagationType[_, _], Tail <: BpCoproduct] = BackPropagationType[:+:[DataOf[Head], DataOf[Tail]], :+:[DeltaOf[Head], DeltaOf[Tail]]]

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  3. type BpCNil = BackPropagationType[CNil, CNil]

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  4. type BpCoproduct = BackPropagationType[_ <: Coproduct, _ <: Coproduct]

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  5. final class CConsLayerOps[Input <: Batch, HeadData, HeadDelta, TailData <: Coproduct, TailDelta <: Coproduct] 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. final def ==(arg0: Any): Boolean

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  4. object Layers

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  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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

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  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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

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  17. implicit def toCConsLayerOps[From, Input <: Batch, OutputData, OutputDelta, HeadData, HeadDelta, TailData <: Coproduct, TailDelta <: Coproduct](from: From)(implicit toLayer: Aux[From, Input, OutputData, OutputDelta], toCoproductLayer: <:<[Aux[Input, Aux[OutputData, OutputDelta]], Aux[Input, Aux[:+:[HeadData, TailData], :+:[HeadDelta, TailDelta]]]]): CConsLayerOps[Input, HeadData, HeadDelta, TailData, TailDelta]

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  18. def toString(): String

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  19. final def wait(): Unit

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

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

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