org.deeplearning4j.scalnet.layers.convolutional

Convolution

abstract class Convolution extends Node

Base class for convolutional layers.

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Node, AnyRef, Any
Known Subclasses
AvgPooling2D, Convolution2D, MaxPooling2D
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Instance Constructors

  1. new Convolution(kernelSize: List[Int], stride: List[Int], padding: List[Int], nChannels: Int = 0, nIn: Option[List[Int]] = scala.None, nFilter: Int = 0)

Abstract Value Members

  1. abstract def name: String

    Definition Classes
    Node

Concrete Value Members

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

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

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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    protected[java.lang]
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  8. def describe(): String

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

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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

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  13. def hashCode(): Int

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  14. def inputShape: List[Int]

    Definition Classes
    Convolution → Node

  15. final def isInstanceOf[T0]: Boolean

    Definition Classes
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  16. val kernelSize: List[Int]

    Attributes
    protected

  17. val nChannels: Int

    Attributes
    protected

  18. val nFilter: Int

    Attributes
    protected

  19. val nIn: Option[List[Int]]

    Attributes
    protected

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

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  21. final def notify(): Unit

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  22. final def notifyAll(): Unit

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  23. def outputShape: List[Int]

    Definition Classes
    Convolution → Node

  24. val padding: List[Int]

    Attributes
    protected

  25. def reshapeInput(nIn: List[Int]): Node

    Definition Classes
    Node

  26. val stride: List[Int]

    Attributes
    protected

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

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  28. def toString(): String

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  29. final def wait(): Unit

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

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

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