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com.thoughtworks.deeplearning

DifferentiableINDArray

Related Doc: package deeplearning

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object DifferentiableINDArray

Author:

杨博 (Yang Bo) <[email protected]>

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Type Members

  1. final class INDArrayLayerOps[Input <: Batch] extends AnyRef

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  2. implicit final class INDArrayOps extends AnyRef

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  3. trait OptimizerFactory extends AnyRef

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  4. final class ToINDArrayLayerOps[Input <: Batch] 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. implicit def Double*INDArray[Input <: Batch]: Aux[Aux[Input, Batch], Aux[Input, Batch], Aux[Input, Batch]]

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  5. implicit def Double+INDArray[Input <: Batch]: Aux[Aux[Input, Batch], Aux[Input, Batch], Aux[Input, Batch]]

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  6. implicit def Double-INDArray[Input <: Batch]: Aux[Aux[Input, Batch], Aux[Input, Batch], Aux[Input, Batch]]

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  7. implicit def Double/INDArray[Input <: Batch]: Aux[Aux[Input, Batch], Aux[Input, Batch], Aux[Input, Batch]]

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  8. implicit def INDArray*Double[Input <: Batch]: Aux[Aux[Input, Batch], Aux[Input, Batch], Aux[Input, Batch]]

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  9. implicit def INDArray*INDArray[Input <: Batch]: Aux[Aux[Input, Batch], Aux[Input, Batch], Aux[Input, Batch]]

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  10. implicit def INDArray+Double[Input <: Batch]: Aux[Aux[Input, Batch], Aux[Input, Batch], Aux[Input, Batch]]

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  11. implicit def INDArray+INDArray[Input <: Batch]: Aux[Aux[Input, Batch], Aux[Input, Batch], Aux[Input, Batch]]

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  12. implicit def INDArray-Double[Input <: Batch]: Aux[Aux[Input, Batch], Aux[Input, Batch], Aux[Input, Batch]]

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  13. implicit def INDArray-INDArray[Input <: Batch]: Aux[Aux[Input, Batch], Aux[Input, Batch], Aux[Input, Batch]]

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  14. implicit def INDArray/Double[Input <: Batch]: Aux[Aux[Input, Batch], Aux[Input, Batch], Aux[Input, Batch]]

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  15. implicit def INDArray/INDArray[Input <: Batch]: Aux[Aux[Input, Batch], Aux[Input, Batch], Aux[Input, Batch]]

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  16. object Layers

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  17. object OptimizerFactory

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  18. object Optimizers

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  19. implicit def abs(INDArray)[Input <: Batch]: Aux[Aux[Input, Batch], Aux[Input, Batch]]

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  20. final def asInstanceOf[T0]: T0

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  21. def clone(): AnyRef

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

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  23. def equals(arg0: Any): Boolean

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  24. implicit def exp(INDArray)[Input <: Batch]: Aux[Aux[Input, Batch], Aux[Input, Batch]]

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  25. def finalize(): Unit

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

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  27. def hashCode(): Int

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  28. implicit def indArrayTrainable: Trainable[INDArray, INDArray]

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  29. final def isInstanceOf[T0]: Boolean

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  30. implicit def liftINDArray: Aux[INDArray, INDArray, INDArray]

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  31. implicit def log(INDArray)[Input <: Batch]: Aux[Aux[Input, Batch], Aux[Input, Batch]]

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  32. implicit def max(INDArray,Double)[Left, Right, Input <: Batch]: Aux[Aux[Input, Batch], Aux[Input, Batch], Aux[Input, Batch]]

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

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  34. final def notify(): Unit

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  35. final def notifyAll(): Unit

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

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  37. implicit def toINDArrayLayerOps[From, Input <: Batch](from: From)(implicit toLayer: OfType[From, Input, INDArrayPlaceholder]): INDArrayLayerOps[Input]

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  38. def toString(): String

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  39. implicit def toToINDArrayLayerOps[Element, Input <: Batch](layerVector: Seq[Seq[Element]])(implicit toLayer: OfType[Element, Input, DoublePlaceholder]): ToINDArrayLayerOps[Input]

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  40. final def wait(): Unit

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

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

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