Class

org.deeplearning4j.scalnet.layers.convolutional

Convolution

Related Doc: package convolutional

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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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  1. Convolution
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Instance Constructors

  1. new Convolution(kernelSize: List[Int], stride: List[Int], padding: List[Int], nChannels: Int = 0, nFilter: Int = 0)

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Value Members

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

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    AnyRef → Any

  2. final def ##(): Int

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

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  4. var _outputShape: List[Int]

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    protected
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    Node

  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )

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

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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

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

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  11. def hashCode(): Int

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  12. var inputShape: List[Int]

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    Definition Classes
    Node

  13. final def isInstanceOf[T0]: Boolean

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    Definition Classes
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  14. val kernelSize: List[Int]

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    Attributes
    protected

  15. val nFilter: Int

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    Attributes
    protected

  16. val name: String

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    Node

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

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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  20. def outputShape: List[Int]

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    Definition Classes
    Convolution → Node

  21. val padding: List[Int]

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    Attributes
    protected

  22. val stride: List[Int]

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    Attributes
    protected

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

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  24. def toString(): String

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  25. final def wait(): Unit

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    @throws( ... )

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

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

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