Packages

  • package root
    Definition Classes
    root
  • package epic

    Definition Classes
    root
  • package dense
    Definition Classes
    epic
  • case class BatchNormalizationTransform [FV](size: Int, useBias: Boolean, inner: Transform[FV, DenseVector[Double]]) extends Transform[FV, DenseVector[Double]] with Product with Serializable

    Implements batch normalization from http://arxiv.org/pdf/1502.03167v3.pdf Basically, each unit is shifted and rescaled per minibatch so that its activations have mean 0 and variance 1.

    Implements batch normalization from http://arxiv.org/pdf/1502.03167v3.pdf Basically, each unit is shifted and rescaled per minibatch so that its activations have mean 0 and variance 1. This has been demonstrated to help training deep networks, but doesn't seem to help here.

    Definition Classes
    dense
  • Layer

case class Layer(bias: DenseVector[Double], size: Int, innerLayer: Transform.Layer) extends Transform.Layer[FV, DenseVector[Double]] with Product with Serializable

Linear Supertypes
Serializable, Serializable, Product, Equals, Transform.Layer[FV, DenseVector[Double]], AnyRef, Any
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Inherited
  1. Layer
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. Layer
  7. AnyRef
  8. Any
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Visibility
  1. Public
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Instance Constructors

  1. new Layer(bias: DenseVector[Double], size: Int, innerLayer: Transform.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
    Layer → Layer
  5. def applyBatchNormalization(inputs: GenTraversable[FV]): Unit
    Definition Classes
    Layer → Layer
  6. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  7. val bias: DenseVector[Double]
  8. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  9. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  10. var fcn: ShiftAndScaleEach
  11. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  12. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
  13. def index: MutableIndex[Feature]
    Definition Classes
    Layer → Layer
  14. val innerLayer: Transform.Layer
  15. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  16. val myIndex: MutableIndex[Feature]
  17. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  18. final def notify(): Unit
    Definition Classes
    AnyRef
  19. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  20. val size: Int
  21. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  22. def tallyDerivative(deriv: DenseVector[Double], _scale: ⇒ Vector[Double], fv: FV): Unit
    Definition Classes
    Layer → Layer
  23. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  24. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  25. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Transform.Layer[FV, DenseVector[Double]]

Inherited from AnyRef

Inherited from Any

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