Class/Object

org.platanios.tensorflow.api.ops.rnn.cell

BasicRNNCell

Related Docs: object BasicRNNCell | package cell

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

$OpDocRNNCellBasicRNNCell

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  1. BasicRNNCell
  2. RNNCell
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Instance Constructors

  1. new BasicRNNCell(kernel: Output, bias: Output, activation: (Output) ⇒ Output = Math.tanh(_), name: String = "BasicRNNCell")

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    kernel

    Kernel matrix to use.

    bias

    Bias vector to use.

    activation

    Activation function to use.

    name

    Name scope for the created ops.

    Attributes
    protected

Value Members

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

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  2. final def ##(): Int

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

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  4. val activation: (Output) ⇒ Output

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    Activation function to use.

  5. def apply(input: Tuple[Output, Output]): Tuple[Output, Output]

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    Definition Classes
    RNNCell
  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  7. val bias: Output

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    Bias vector to use.

  8. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    @throws( ... )
  9. final def eq(arg0: AnyRef): Boolean

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  12. def forward(input: BasicTuple): BasicTuple

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    Definition Classes
    BasicRNNCellRNNCell
  13. final def getClass(): Class[_]

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  14. def hashCode(): Int

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  15. final def isInstanceOf[T0]: Boolean

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  16. val kernel: Output

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    Kernel matrix to use.

  17. val name: String

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    Name scope for the created ops.

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

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  19. final def notify(): Unit

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  20. final def notifyAll(): Unit

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  21. def outputShape: core.Shape

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    Definition Classes
    BasicRNNCellRNNCell
  22. def stateShape: core.Shape

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    Definition Classes
    BasicRNNCellRNNCell
  23. final def synchronized[T0](arg0: ⇒ T0): T0

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  24. def toString(): String

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  25. final def wait(): Unit

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    @throws( ... )
  26. final def wait(arg0: Long, arg1: Int): Unit

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

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  28. def zeroState(batchSize: Output, dataType: types.DataType, shape: core.Shape, name: String = "ZeroState"): Output

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    Definition Classes
    RNNCell

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