Packages

  • package root
    Definition Classes
    root
  • package epic

    Definition Classes
    root
  • package dense
    Definition Classes
    epic
  • case class CachingLookupAndAffineTransformDense [FV](numOutputs: Int, numInputs: Int, word2vecIndexed: Word2VecIndexed[String], includeBias: Boolean = true) extends Transform[Array[Int], DenseVector[Double]] with Product with Serializable

    Used at the input layer to cache lookups and the result of applying the affine transform at the first layer of the network.

    Used at the input layer to cache lookups and the result of applying the affine transform at the first layer of the network. This saves computation across repeated invocations of the neural network in the sentence.

    Definition Classes
    dense
  • Layer

case class Layer(weights: DenseMatrix[Double], bias: DenseVector[Double]) extends Transform.Layer[Array[Int], DenseVector[Double]] with Product with Serializable

Linear Supertypes
Serializable, Serializable, Product, Equals, Transform.Layer[Array[Int], 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
  2. All

Instance Constructors

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

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: Array[Int]): DenseVector[Double]
    Definition Classes
    Layer → Layer
  5. def applyBatchNormalization(inputs: GenTraversable[Array[Int]]): Unit
    Definition Classes
    Layer → Layer
  6. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  7. val bias: DenseVector[Double]
  8. val caches: Array[HashMap[Int, DenseVector[Double]]]
  9. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  10. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  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. val index: Index
    Definition Classes
    Layer → Layer
  14. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  15. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  16. final def notify(): Unit
    Definition Classes
    AnyRef
  17. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  18. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  19. def tallyDerivative(deriv: DenseVector[Double], _scale: ⇒ Vector[Double], fv: Array[Int]): Unit
    Definition Classes
    Layer → Layer
  20. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  21. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  22. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  23. val weights: DenseMatrix[Double]
  24. val weightst: DenseMatrix[Double]

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Transform.Layer[Array[Int], DenseVector[Double]]

Inherited from AnyRef

Inherited from Any

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