Trait/Object

toolkit.neuralnetwork

DifferentiableField

Related Docs: object DifferentiableField | package neuralnetwork

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trait DifferentiableField extends DifferentiableFieldOps with GradientPropagation

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  1. DifferentiableField
  2. GradientPropagation
  3. DifferentiableFieldOps
  4. BasicOps
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Abstract Value Members

  1. abstract val batchSize: Int

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  2. abstract val forward: libcog.Field

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Concrete 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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  17. def backwardCallback(back: libcog.Field): Unit

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  18. def clone(): AnyRef

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

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

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

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    Definition Classes
    AnyRef
  22. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  23. def finalize(): Unit

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    protected[java.lang]
    Definition Classes
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    @throws( classOf[java.lang.Throwable] )
  24. final def getClass(): Class[_]

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    Definition Classes
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  25. var gradientBinding: Option[GradientBinding]

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  26. val gradientConsumer: Boolean

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  27. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  28. val inputs: Map[Symbol, GradientPort]

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  29. final def isInstanceOf[T0]: Boolean

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

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

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

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

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

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    Definition Classes
    AnyRef
  35. 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
  36. def subtract(input: DifferentiableField, c: Float): DifferentiableField

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

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

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    Definition Classes
    AnyRef
  39. def toString(): String

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    Definition Classes
    AnyRef → Any
  40. def totalDerivative(): libcog.Field

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    Definition Classes
    GradientPropagation
  41. final def wait(): Unit

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

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from GradientPropagation

Inherited from DifferentiableFieldOps

Inherited from BasicOps

Inherited from AnyRef

Inherited from Any

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