Trait

toolkit.neuralnetwork.function

BasicOps

Related Doc: package function

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trait BasicOps extends AnyRef

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

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  2. final def ##(): Int

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

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

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

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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

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

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

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  11. def equals(arg0: Any): Boolean

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  12. def finalize(): Unit

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

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  15. final def isInstanceOf[T0]: Boolean

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

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

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

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  19. final def notify(): Unit

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  20. final def notifyAll(): Unit

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  21. 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

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

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

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

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  25. def toString(): String

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  26. final def wait(): Unit

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

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

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