Class/Object

org.platanios.tensorflow.api.learn.layers.rnn.cell

BasicRNNCell

Related Docs: object BasicRNNCell | package cell

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class BasicRNNCell extends RNNCell[Output, Shape, Output, Shape]

$OpDocRNNCellBasicRNNCell

Linear Supertypes
RNNCell[Output, Shape, Output, Shape], Layer[Tuple[Output, Output], Tuple[Output, Output]], AnyRef, Any
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Inherited
  1. BasicRNNCell
  2. RNNCell
  3. Layer
  4. AnyRef
  5. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new BasicRNNCell(name: String, numUnits: Int, dataType: DataType, activation: (Output) ⇒ Output = ops.Math.tanh(_), kernelInitializer: Initializer = null, biasInitializer: Initializer = ZerosInitializer)

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    name

    Name scope (also acting as variable scope) for this layer.

    numUnits

    Number of units in the RNN cell.

    dataType

    Data type for the parameters of this cell.

    activation

    Activation function used by this RNN cell.

    kernelInitializer

    Variable initializer for kernel matrices.

    biasInitializer

    Variable initializer for the bias vectors.

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. def +(other: Layer[Tuple[Output, Output], Tuple[Output, Output]]): Concatenate[Tuple[Output, Output], Tuple[Output, Output]]

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    Definition Classes
    Layer

  4. def ++(others: Seq[Layer[Tuple[Output, Output], Tuple[Output, Output]]]): Concatenate[Tuple[Output, Output], Tuple[Output, Output]]

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    Definition Classes
    Layer

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

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    Definition Classes
    AnyRef → Any

  6. def >>[S](other: Layer[Tuple[Output, Output], S]): Compose[Tuple[Output, Output], Tuple[Output, Output], S]

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    Definition Classes
    Layer

  7. val activation: (Output) ⇒ Output

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    Activation function used by this RNN cell.

  8. def apply(input: Tuple[Output, Output])(implicit mode: Mode): Tuple[Output, Output]

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    Definition Classes
    Layer

  9. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  10. val biasInitializer: Initializer

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    Variable initializer for the bias vectors.

  11. def clone(): AnyRef

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

  12. def compose[S](other: Layer[Tuple[Output, Output], S]): Compose[Tuple[Output, Output], Tuple[Output, Output], S]

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    Definition Classes
    Layer

  13. def concatenate(others: Layer[Tuple[Output, Output], Tuple[Output, Output]]*): Concatenate[Tuple[Output, Output], Tuple[Output, Output]]

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    Definition Classes
    Layer

  14. final def createCell(mode: Mode, inputShape: Shape): ops.rnn.cell.RNNCell[Output, Shape, Output, Shape]

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    Definition Classes
    RNNCell

  15. def createCellWithoutContext(mode: Mode, inputShape: Shape): ops.rnn.cell.BasicRNNCell

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    Definition Classes
    BasicRNNCell → RNNCell

  16. final def currentStep: ops.Output

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    Definition Classes
    Layer

  17. val dataType: DataType

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    Data type for the parameters of this cell.

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

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    Definition Classes
    AnyRef

  19. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  20. def finalize(): Unit

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

  21. def forward(input: Tuple[Output, Output])(implicit mode: Mode): Tuple[Output, Output]

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    Definition Classes
    Layer

  22. final def forwardWithoutContext(input: Tuple[Output, Output])(implicit mode: Mode): Tuple[Output, Output]

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    Definition Classes
    RNNCell → Layer

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

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    Definition Classes
    AnyRef → Any

  24. final def getParameter(name: String, dataType: types.DataType, shape: core.Shape, initializer: Initializer = null, regularizer: Regularizer = null, trainable: Boolean = true, reuse: Reuse = ReuseOrCreateNew, collections: Set[Key[ops.variables.Variable]] = Set.empty, cachingDevice: (OpSpecification) ⇒ String = null): ops.Output

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    Definition Classes
    Layer

  25. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  26. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  27. val kernelInitializer: Initializer

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    Variable initializer for kernel matrices.

  28. val layerType: String

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    Definition Classes
    BasicRNNCell → Layer

  29. def map[MR](mapFn: (Tuple[Output, Output]) ⇒ MR): Layer[Tuple[Output, Output], MR]

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    Definition Classes
    Layer

  30. val name: String

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    Name scope (also acting as variable scope) for this layer.

    Name scope (also acting as variable scope) for this layer.

    Definition Classes
    BasicRNNCell → RNNCell → Layer

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

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    Definition Classes
    AnyRef

  32. final def notify(): Unit

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    Definition Classes
    AnyRef

  33. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  34. val numUnits: Int

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    Number of units in the RNN cell.

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

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    Definition Classes
    AnyRef

  36. def toString(): String

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    Definition Classes
    Layer → AnyRef → Any

  37. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from RNNCell[Output, Shape, Output, Shape]

Inherited from Layer[Tuple[Output, Output], Tuple[Output, Output]]

Inherited from AnyRef

Inherited from Any

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