Class

org.deeplearning4j.scalnet.layers

Dense

Related Doc: package layers

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class Dense extends Node with Layer with Output

Fully connected neural net layer.

Linear Supertypes
Output, Layer, Node, AnyRef, Any
Known Subclasses
DenseOutput
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Inherited
  1. Dense
  2. Output
  3. Layer
  4. Node
  5. AnyRef
  6. Any
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Visibility
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Instance Constructors

  1. new Dense(nOut: Int, nIn: Int = 0, weightInit: WeightInit = WeightInit.VI, activation: String = "identity", regularizer: WeightRegularizer = NoRegularizer(), dropOut: Double = 0.0, name: String = null)

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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. var _isOutput: Boolean

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    Attributes
    protected
    Definition Classes
    Output

  5. var _lossFunction: LossFunction

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    Attributes
    protected
    Definition Classes
    Output

  6. var _outputShape: List[Int]

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    Attributes
    protected
    Definition Classes
    Node

  7. val activation: String

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  8. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  9. def clone(): AnyRef

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

  10. def compile: nn.conf.layers.Layer

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    Definition Classes
    Dense → Layer

  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. var inputShape: List[Int]

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    Definition Classes
    Node

  18. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  19. def isOutput: Boolean

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    Definition Classes
    Output

  20. def lossFunction: LossFunction

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    Definition Classes
    Output

  21. def makeOutput(lossFunction: LossFunction): Unit

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    Definition Classes
    Output

  22. val name: String

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    Definition Classes
    Dense → Node

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

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    Definition Classes
    AnyRef

  24. final def notify(): Unit

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    Definition Classes
    AnyRef

  25. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  26. def outputShape: List[Int]

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    Definition Classes
    Node

  27. val regularizer: WeightRegularizer

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

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    Definition Classes
    AnyRef

  29. def toString(): String

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    Definition Classes
    AnyRef → Any

  30. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  33. val weightInit: WeightInit

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Inherited from Output

Inherited from Layer

Inherited from Node

Inherited from AnyRef

Inherited from Any

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