Packages

  • package root
    Definition Classes
    root
  • package epic

    Definition Classes
    root
  • package dense
    Definition Classes
    epic
  • case class AffineOutputTransform [FV](numOutputs: Int, numInputs: Int, innerTransform: Transform[FV, DenseVector[Double]], includeBias: Boolean = true) extends OutputTransform[FV, DenseVector[Double]] with Product with Serializable

    Used at the output layer when we're only going to need some of the possible ouputs; it exposes the penultimate layer and then the Layer allows you to pass the results from that back in (caching it elsewhere) and only compute certain cells in the output layer (activationsFromPenultimateDot).

    Used at the output layer when we're only going to need some of the possible ouputs; it exposes the penultimate layer and then the Layer allows you to pass the results from that back in (caching it elsewhere) and only compute certain cells in the output layer (activationsFromPenultimateDot).

    Definition Classes
    dense
  • OutputLayer

case class OutputLayer(weights: DenseMatrix[Double], bias: DenseVector[Double], innerLayer: Layer) extends OutputTransform.OutputLayer[FV, DenseVector[Double]] with Product with Serializable

Linear Supertypes
Serializable, Serializable, Product, Equals, OutputTransform.OutputLayer[FV, DenseVector[Double]], Layer[FV, DenseVector[Double]], AnyRef, Any
Ordering
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Inherited
  1. OutputLayer
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. OutputLayer
  7. Layer
  8. AnyRef
  9. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new OutputLayer(weights: DenseMatrix[Double], bias: DenseVector[Double], innerLayer: Layer)

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def activations(fv: FV): DenseVector[Double]
    Definition Classes
    OutputLayer → OutputLayer → Layer
  5. def activationsDot(fv: FV, sparseIndices: Array[Int]): Double
  6. def activationsDot(fv: FV, sparseIdx: Int): Double
  7. def activationsFromPenultimateDot(innerLayerActivations: DenseVector[Double], sparseIdx: Int): Double
    Definition Classes
    OutputLayer → OutputLayer
  8. def activationsFromPenultimateDot(innerLayerActivations: DenseVector[Double], sparseFeatures: Array[Int]): Double
    Definition Classes
    OutputLayer
  9. def applyBatchNormalization(inputs: GenTraversable[FV]): Unit
    Definition Classes
    OutputLayer → OutputLayer → Layer
  10. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  11. val bias: DenseVector[Double]
  12. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  13. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  14. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  15. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
  16. val index: SegmentedIndex[Feature, Index[Feature]]
    Definition Classes
    OutputLayer → OutputLayer → Layer
  17. val innerLayer: Layer
  18. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  19. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  20. final def notify(): Unit
    Definition Classes
    AnyRef
  21. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  22. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  23. def tallyDerivative(deriv: DenseVector[Double], _scale: ⇒ Vector[Double], fv: FV): Unit
    Definition Classes
    OutputLayer → OutputLayer → Layer
  24. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  25. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  26. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  27. val weights: DenseMatrix[Double]
  28. val weightst: DenseMatrix[Double]

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from OutputTransform.OutputLayer[FV, DenseVector[Double]]

Inherited from Layer[FV, DenseVector[Double]]

Inherited from AnyRef

Inherited from Any

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