Class/Object

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

BasicLSTMCell

Related Docs: object BasicLSTMCell | package cell

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class BasicLSTMCell extends RNNCell[Output, core.Shape, LSTMState, (core.Shape, core.Shape)]

$OpDocRNNCellBasicLSTMCell

Linear Supertypes
RNNCell[Output, core.Shape, LSTMState, (core.Shape, core.Shape)], AnyRef, Any
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  1. BasicLSTMCell
  2. RNNCell
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Visibility
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Instance Constructors

  1. new BasicLSTMCell(kernel: Output, bias: Output, activation: (Output) ⇒ Output = Math.tanh(_), forgetBias: Float = 1.0f, name: String = "BasicLSTMCell")

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    kernel

    Kernel matrix to use.

    bias

    Bias vector to use.

    activation

    Activation function to use.

    forgetBias

    Forget bias added to the forget gate.

    name

    Name scope for the created ops.

    Attributes
    protected

Value Members

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

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    Definition Classes
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  2. final def ##(): Int

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

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    Definition Classes
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  4. val activation: (Output) ⇒ Output

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    Activation function to use.

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

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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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    Annotations
    @throws( ... )

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

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    Definition Classes
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  10. def equals(arg0: Any): Boolean

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    Definition Classes
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  11. def finalize(): Unit

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

  12. val forgetBias: Float

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    Forget bias added to the forget gate.

  13. def forward(input: LSTMTuple): LSTMTuple

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    Definition Classes
    BasicLSTMCell → RNNCell

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

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    Definition Classes
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  15. def hashCode(): Int

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  16. final def isInstanceOf[T0]: Boolean

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    Definition Classes
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  17. val kernel: Output

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    Kernel matrix to use.

  18. val name: String

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    Name scope for the created ops.

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

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    Definition Classes
    AnyRef

  20. final def notify(): Unit

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    Definition Classes
    AnyRef

  21. final def notifyAll(): Unit

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    Definition Classes
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  22. def outputShape: core.Shape

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    Definition Classes
    BasicLSTMCell → RNNCell

  23. def stateShape: (core.Shape, core.Shape)

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    Definition Classes
    BasicLSTMCell → RNNCell

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

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    Definition Classes
    AnyRef

  25. def toString(): String

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  26. final def wait(): Unit

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    @throws( ... )

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

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

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

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    Definition Classes
    RNNCell

Inherited from RNNCell[Output, core.Shape, LSTMState, (core.Shape, core.Shape)]

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