org.deeplearning4j.scalnet.layers

Dense

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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  1. Dense
  2. Output
  3. Layer
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Instance Constructors

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

Value Members

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  6. var _isOutput: Boolean

    Attributes
    protected
    Definition Classes
    Output

  7. var _lossFunction: LossFunction

    Attributes
    protected
    Definition Classes
    Output

  8. var _outputShape: List[Int]

    Attributes
    protected
    Definition Classes
    Node

  9. val activation: String

  10. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  11. def clone(): AnyRef

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

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

    Definition Classes
    Dense → Layer

  13. val dropOut: Double

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

    Definition Classes
    AnyRef

  15. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  16. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  18. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  19. var inputShape: List[Int]

    Definition Classes
    Node

  20. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  21. def isOutput: Boolean

    Definition Classes
    Output

  22. def lossFunction: LossFunction

    Definition Classes
    Output

  23. def makeOutput(lossFunction: LossFunction): Unit

    Definition Classes
    Output

  24. val name: String

    Definition Classes
    Dense → Node

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

    Definition Classes
    AnyRef

  26. final def notify(): Unit

    Definition Classes
    AnyRef

  27. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  28. def outputShape: List[Int]

    Definition Classes
    Node

  29. val regularizer: WeightRegularizer

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

    Definition Classes
    AnyRef

  31. def toString(): String

    Definition Classes
    AnyRef → Any

  32. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  35. val weightInit: WeightInit

Inherited from Output

Inherited from Layer

Inherited from Node

Inherited from AnyRef

Inherited from Any

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