SpatialConvolution

Value Members

1. final def !=(arg0: Any): Boolean

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

   AnyRef → Any

3. def *(that: Float): DifferentiableField

   

   Definition Classes

   DifferentiableFieldOps

4. def *(that: DifferentiableField): DifferentiableField

   

   Definition Classes

   DifferentiableFieldOps

5. def +(that: Float): DifferentiableField

   

   Definition Classes

   DifferentiableFieldOps

6. def +(that: DifferentiableField): DifferentiableField

   

   Definition Classes

   DifferentiableFieldOps

7. def -(that: Float): DifferentiableField

   

   Definition Classes

   DifferentiableFieldOps

8. def -(that: DifferentiableField): DifferentiableField

   

   Definition Classes

   DifferentiableFieldOps

9. def /(that: Float): DifferentiableField

   

   Definition Classes

   DifferentiableFieldOps

10. def /(that: DifferentiableField): DifferentiableField

    

    Definition Classes

    DifferentiableFieldOps

11. final def ==(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

12. def activateSGD(initField: libcog.Field = ScalarField(1f), invokeCallbacks: Boolean = true): Unit

    

    Definition Classes

    GradientPropagation

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

    

    Definition Classes

    BasicOps

14. def add(left: DifferentiableField, right: DifferentiableField): DifferentiableField

    

    Definition Classes

    BasicOps

15. final def asInstanceOf[T0]: T0

    

    Definition Classes

    Any

16. var backward: Option[libcog.Field]

    

    Definition Classes

    DifferentiableField

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

    

    Definition Classes

    DifferentiableField

18. val batchSize: Int

    

    Definition Classes

    SpatialConvolution → DifferentiableField

19. val border: libcog.BorderPolicy

    

20. def clone(): AnyRef

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

21. def divide(input: DifferentiableField, c: Float): DifferentiableField

    

    Definition Classes

    BasicOps

22. def divide(left: DifferentiableField, right: DifferentiableField): DifferentiableField

    

    Definition Classes

    BasicOps

23. final def eq(arg0: AnyRef): Boolean

    

    Definition Classes

    AnyRef

24. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

25. val forward: libcog.Field

    

    Definition Classes

    SpatialConvolution → DifferentiableField

26. final def getClass(): Class[_]

    

    Definition Classes

    AnyRef → Any

27. var gradientBinding: Option[GradientBinding]

    

    Definition Classes

    DifferentiableField

28. val gradientConsumer: Boolean

    

    Definition Classes

    DifferentiableField

29. val input: DifferentiableField

    

    The signal node

30. val inputs: Map[Symbol, GradientPort]

    

    Definition Classes

    SpatialConvolution → DifferentiableField

31. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

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

    

    Definition Classes

    BasicOps

33. def multiply(left: DifferentiableField, right: DifferentiableField): DifferentiableField

    

    Definition Classes

    BasicOps

34. final def ne(arg0: AnyRef): Boolean

    

    Definition Classes

    AnyRef

35. final def notify(): Unit

    

    Definition Classes

    AnyRef

36. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

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

    

    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 stride: Int

    

    The factor by which the output with be downsampled after the BorderValid convolution

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

    

    Definition Classes

    BasicOps

40. def subtract(left: DifferentiableField, right: DifferentiableField): DifferentiableField

    

    Definition Classes

    BasicOps

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

    

    Definition Classes

    AnyRef

42. def totalDerivative(): libcog.Field

    

    Definition Classes

    GradientPropagation

43. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

44. final def wait(arg0: Long, arg1: Int): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

45. final def wait(arg0: Long): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

46. val weights: DifferentiableField

    

    The filter bank input, typically a TrainableState field