Class/Object

org.deeplearning4j.scalnet.layers.pooling

AvgPooling2D

Related Docs: object AvgPooling2D | package pooling

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class AvgPooling2D extends Convolution with Layer

2D average pooling layer in neural net architectures.

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Layer, Convolution, Node, AnyRef, Any
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Inherited
  1. AvgPooling2D
  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 AvgPooling2D(kernelSize: List[Int], stride: List[Int] = List(1, 1), padding: List[Int] = List(0, 0), nIn: Option[List[Int]] = None, 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. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. def clone(): AnyRef

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

  6. def compile: Layer

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    Definition Classes
    AvgPooling2D → Layer

  7. def describe(): String

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    Definition Classes
    Node

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

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    Definition Classes
    AnyRef

  9. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  10. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  12. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  13. def inputShape: List[Int]

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    Definition Classes
    Convolution → Node

  14. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  15. val kernelSize: List[Int]

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    Attributes
    protected
    Definition Classes
    Convolution

  16. val nChannels: Int

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    Attributes
    protected
    Definition Classes
    Convolution

  17. val nFilter: Int

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    Attributes
    protected
    Definition Classes
    Convolution

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

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    Attributes
    protected
    Definition Classes
    Convolution

  19. val name: String

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    Definition Classes
    AvgPooling2D → Node

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

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    Definition Classes
    AnyRef

  21. final def notify(): Unit

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    Definition Classes
    AnyRef

  22. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  23. def outputShape: List[Int]

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    Definition Classes
    Convolution → Node

  24. val padding: List[Int]

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    Attributes
    protected
    Definition Classes
    Convolution

  25. def reshapeInput(nIn: List[Int]): AvgPooling2D

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    Definition Classes
    AvgPooling2D → Node

  26. val stride: List[Int]

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    Attributes
    protected
    Definition Classes
    Convolution

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

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    Definition Classes
    AnyRef

  28. def toString(): String

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    Definition Classes
    AnyRef → Any

  29. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Layer

Inherited from Convolution

Inherited from Node

Inherited from AnyRef

Inherited from Any

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