Class

toolkit.neuralnetwork.source

RandomSource

Related Doc: package source

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case class RandomSource(fieldShape: libcog.Shape, vectorLen: Int, batchSize: Int, bits: Int = 12, seed: Option[Long] = None, gradientConsumer: Boolean = false) extends DifferentiableField with Product with Serializable

Linear Supertypes
Serializable, Serializable, Product, Equals, DifferentiableField, GradientPropagation, DifferentiableFieldOps, BasicOps, AnyRef, Any
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Inherited
  1. RandomSource
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. DifferentiableField
  7. GradientPropagation
  8. DifferentiableFieldOps
  9. BasicOps
  10. AnyRef
  11. Any
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Visibility
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Instance Constructors

  1. new RandomSource(fieldShape: libcog.Shape, vectorLen: Int, batchSize: Int, bits: Int = 12, seed: Option[Long] = None, gradientConsumer: Boolean = false)

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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. def *(that: Float): DifferentiableField

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    Definition Classes
    DifferentiableFieldOps
  4. def *(that: DifferentiableField): DifferentiableField

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    Definition Classes
    DifferentiableFieldOps
  5. def +(that: Float): DifferentiableField

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    Definition Classes
    DifferentiableFieldOps
  6. def +(that: DifferentiableField): DifferentiableField

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    Definition Classes
    DifferentiableFieldOps
  7. def -(that: Float): DifferentiableField

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    Definition Classes
    DifferentiableFieldOps
  8. def -(that: DifferentiableField): DifferentiableField

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    Definition Classes
    DifferentiableFieldOps
  9. def /(that: Float): DifferentiableField

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    Definition Classes
    DifferentiableFieldOps
  10. def /(that: DifferentiableField): DifferentiableField

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    Definition Classes
    DifferentiableFieldOps
  11. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  12. def activateSGD(initField: libcog.Field = ScalarField(1f), invokeCallbacks: Boolean = true): Unit

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    Definition Classes
    GradientPropagation
  13. def add(input: DifferentiableField, c: Float): DifferentiableField

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    Definition Classes
    BasicOps
  14. def add(left: DifferentiableField, right: DifferentiableField): DifferentiableField

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    Definition Classes
    BasicOps
  15. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  16. var backward: Option[libcog.Field]

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    Definition Classes
    DifferentiableField
  17. def backwardCallback(back: libcog.Field): Unit

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    Definition Classes
    DifferentiableField
  18. val batchSize: Int

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    Definition Classes
    RandomSourceDifferentiableField
  19. val bits: Int

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  20. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  21. def divide(input: DifferentiableField, c: Float): DifferentiableField

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    Definition Classes
    BasicOps
  22. def divide(left: DifferentiableField, right: DifferentiableField): DifferentiableField

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    Definition Classes
    BasicOps
  23. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  24. val fieldShape: libcog.Shape

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  25. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  26. val forward: libcog.Field

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    Definition Classes
    RandomSourceDifferentiableField
  27. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  28. var gradientBinding: Option[GradientBinding]

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    Definition Classes
    DifferentiableField
  29. val gradientConsumer: Boolean

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    Definition Classes
    RandomSourceDifferentiableField
  30. val inputs: Map[Symbol, GradientPort]

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    Definition Classes
    DifferentiableField
  31. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  32. def multiply(input: DifferentiableField, c: Float): DifferentiableField

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    Definition Classes
    BasicOps
  33. def multiply(left: DifferentiableField, right: DifferentiableField): DifferentiableField

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    Definition Classes
    BasicOps
  34. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  35. final def notify(): Unit

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    Definition Classes
    AnyRef
  36. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  37. def pow(input: DifferentiableField, n: Float): DifferentiableField

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    Raise a node to a fixed power.

    Raise a node to a fixed power. Cog has two pow() function signatures corresponding to both integer and non-integer powers. The integer case is detected here and special-cased (instead of having a separate PowN node for this).

    If the power n is anything other than a positive integer, make sure the inputs are always positive or NaNs will result.

    input

    the input signal

    n

    the power to raise the input to

    Definition Classes
    BasicOps
  38. val seed: Option[Long]

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  39. def subtract(input: DifferentiableField, c: Float): DifferentiableField

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    Definition Classes
    BasicOps
  40. def subtract(left: DifferentiableField, right: DifferentiableField): DifferentiableField

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    Definition Classes
    BasicOps
  41. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  42. def totalDerivative(): libcog.Field

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    Definition Classes
    GradientPropagation
  43. val vectorLen: Int

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  44. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  45. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  46. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from DifferentiableField

Inherited from GradientPropagation

Inherited from DifferentiableFieldOps

Inherited from BasicOps

Inherited from AnyRef

Inherited from Any

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