Class/Object

org.deeplearning4j.scalnet.layers.convolutional

Convolution3D

Related Docs: object Convolution3D | package convolutional

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class Convolution3D extends Convolution with Layer

3D convolution for structured image-like inputs. Input should have four dimensions: depth, height, width and number of channels. Convolution is over depth, height and width. For simplicity we assume NDHWC data format, i.e. channels last.

Linear Supertypes
Layer, Convolution, Node, AnyRef, Any
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Inherited
  1. Convolution3D
  2. Layer
  3. Convolution
  4. Node
  5. AnyRef
  6. Any
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Visibility
  1. Public
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Instance Constructors

  1. new Convolution3D(nFilter: Int, kernelSize: List[Int], nChannels: Int = 0, stride: List[Int] = List(1, 1, 1), padding: List[Int] = List(0, 0, 0), dilation: List[Int] = List(1, 1, 1), nIn: Option[List[Int]] = None, weightInit: WeightInit = WeightInit.XAVIER_UNIFORM, activation: Activation = Activation.IDENTITY, regularizer: WeightRegularizer = NoRegularizer(), dropOut: Double = 0.0, name: String = "")

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

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    Definition Classes
    AnyRef → Any

  4. val activation: Activation

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  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  7. def compile: Layer

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    Definition Classes
    Convolution3D → Layer

  8. def describe(): String

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    Definition Classes
    Node

  9. val dilation: List[Int]

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    Attributes
    protected
    Definition Classes
    Convolution

  10. val dimension: Int

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    Attributes
    protected
    Definition Classes
    Convolution

  11. val dropOut: Double

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

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    Definition Classes
    AnyRef

  13. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  14. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

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

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    Definition Classes
    AnyRef → Any

  16. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  17. def inputShape: List[Int]

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    Definition Classes
    Convolution → Node

  18. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  19. val kernelSize: List[Int]

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    Attributes
    protected
    Definition Classes
    Convolution

  20. val nChannels: Int

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    Attributes
    protected
    Definition Classes
    Convolution

  21. val nFilter: Int

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    Attributes
    protected
    Definition Classes
    Convolution

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

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    Attributes
    protected
    Definition Classes
    Convolution

  23. val name: String

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    Definition Classes
    Convolution3D → Node

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

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    Definition Classes
    AnyRef

  25. final def notify(): Unit

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    Definition Classes
    AnyRef

  26. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  27. def outputShape: List[Int]

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    Definition Classes
    Convolution → Node

  28. val padding: List[Int]

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    Attributes
    protected
    Definition Classes
    Convolution

  29. val regularizer: WeightRegularizer

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  30. def reshapeInput(nIn: List[Int]): Convolution3D

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    Definition Classes
    Convolution3D → Node

  31. val stride: List[Int]

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    Attributes
    protected
    Definition Classes
    Convolution

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

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    Definition Classes
    AnyRef

  33. def toString(): String

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    Definition Classes
    AnyRef → Any

  34. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  37. val weightInit: WeightInit

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Inherited from Layer

Inherited from Convolution

Inherited from Node

Inherited from AnyRef

Inherited from Any

Ungrouped