case class OutputLayer(sublayers: Seq[LRQTNLayer], innerLayer: Layer) extends OutputTransform.OutputLayer[FV, DenseVector[Double]] with Product with Serializable
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Instance Constructors
- new OutputLayer(sublayers: Seq[LRQTNLayer], innerLayer: Layer)
Value Members
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final
def
!=(arg0: Any): Boolean
- Definition Classes
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final
def
##(): Int
- Definition Classes
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final
def
==(arg0: Any): Boolean
- Definition Classes
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def
activations(fv: FV): DenseVector[Double]
- Definition Classes
- OutputLayer → OutputLayer → Layer
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def
activationsFromPenultimateDot(innerLayerActivations: DenseVector[Double], sparseIdx: Int): Double
- Definition Classes
- OutputLayer → OutputLayer
-
def
activationsFromPenultimateDot(innerLayerActivations: DenseVector[Double], sparseFeatures: Array[Int]): Double
- Definition Classes
- OutputLayer
-
def
applyBatchNormalization(inputs: GenTraversable[FV]): Unit
- Definition Classes
- OutputLayer → OutputLayer → Layer
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final
def
asInstanceOf[T0]: T0
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def
clone(): AnyRef
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final
def
eq(arg0: AnyRef): Boolean
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def
finalize(): Unit
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final
def
getClass(): Class[_]
- Definition Classes
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val
index: SegmentedIndex[Feature, Index[Feature]]
- Definition Classes
- OutputLayer → OutputLayer → Layer
- val innerLayer: Layer
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final
def
isInstanceOf[T0]: Boolean
- Definition Classes
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final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
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- val neuronIndex: SegmentedIndex[Feature, SegmentedIndex[Feature, Index]]
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final
def
notify(): Unit
- Definition Classes
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final
def
notifyAll(): Unit
- Definition Classes
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- val sublayers: Seq[LRQTNLayer]
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final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
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def
tallyDerivative(deriv: DenseVector[Double], _scale: ⇒ Vector[Double], fv: FV): Unit
- Definition Classes
- OutputLayer → OutputLayer → Layer
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final
def
wait(): Unit
- Definition Classes
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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