Class

com.tencent.angel.ml.core.network.layers.verge

SimpleLossLayer

Related Doc: package verge

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class SimpleLossLayer extends LinearLayer with LossLayer

Linear Supertypes
LossLayer, LinearLayer, Layer, Serializable, Serializable, AnyRef, Any
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Inherited
  1. SimpleLossLayer
  2. LossLayer
  3. LinearLayer
  4. Layer
  5. Serializable
  6. Serializable
  7. AnyRef
  8. Any
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Visibility
  1. Public
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Instance Constructors

  1. new SimpleLossLayer(name: String, inputLayer: Layer, lossFunc: LossFunc)(implicit graph: AngelGraph)

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Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    AnyRef → Any

  4. val LOG: Log

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  5. def addConsumer(layer: Layer): Unit

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    Definition Classes
    Layer

  6. def addInput(layer: Layer): Unit

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    Definition Classes
    Layer

  7. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  8. def calGradOutput(): Matrix

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    Definition Classes
    SimpleLossLayer → LinearLayer

  9. def calLoss(): Double

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    Definition Classes
    SimpleLossLayer → LossLayer

  10. def calOutput(): Matrix

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    Definition Classes
    SimpleLossLayer → Layer

  11. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  12. val consumer: ListBuffer[Layer]

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    Definition Classes
    Layer

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

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    Definition Classes
    AnyRef

  14. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  15. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  16. def gatherGrad(): Matrix

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    Definition Classes
    Layer

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

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    Definition Classes
    AnyRef → Any

  18. def getLossFunc(): LossFunc

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    Definition Classes
    SimpleLossLayer → LossLayer

  19. var gradOutput: Matrix

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  20. implicit val graph: AngelGraph

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    Definition Classes
    Layer

  21. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  22. val input: ListBuffer[Layer]

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    Definition Classes
    Layer

  23. val inputLayer: Layer

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    Definition Classes
    LinearLayer

  24. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  25. var loss: Double

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  26. val name: String

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    Definition Classes
    Layer

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

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    Definition Classes
    AnyRef

  28. final def notify(): Unit

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    Definition Classes
    AnyRef

  29. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  30. var output: Matrix

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  31. val outputDim: Int

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    Definition Classes
    Layer

  32. def predict(): Matrix

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    Definition Classes
    SimpleLossLayer → LossLayer

  33. var status: STATUS.Value

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    Definition Classes
    Layer

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

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    Definition Classes
    AnyRef

  35. def toMeta(): LayerMeta

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    Definition Classes
    Layer

  36. def toString(): String

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    Definition Classes
    SimpleLossLayer → AnyRef → Any

  37. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from LossLayer

Inherited from LinearLayer

Inherited from Layer

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped