class DropoutWrapper[Out, State, OutShape, StateShape] extends RNNCell[Out, State, OutShape, StateShape]
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- RNNCell
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- new DropoutWrapper(cell: RNNCell[Out, State, OutShape, StateShape], inputKeepProbability: Output[Float] = 1.0f, outputKeepProbability: Output[Float] = 1.0f, stateKeepProbability: Output[Float] = 1.0f, seed: Option[Int] = None, name: String = "DropoutWrapper")(implicit arg0: OutputStructure[Out], arg1: OutputStructure[State], evOutputToShapeOut: Aux[Out, OutShape], evOutputToShapeState: Aux[State, StateShape])
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- def apply(input: Tuple[Out, State]): Tuple[Out, State]
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- RNNCell
- final def asInstanceOf[T0]: T0
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- val cell: RNNCell[Out, State, OutShape, StateShape]
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- implicit val evOutputToShapeOut: Aux[Out, OutShape]
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- RNNCell
- implicit val evOutputToShapeState: Aux[State, StateShape]
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- RNNCell
- def forward(input: Tuple[Out, State]): Tuple[Out, State]
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- DropoutWrapper → RNNCell
- final def getClass(): Class[_ <: AnyRef]
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- def hashCode(): Int
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- val inputKeepProbability: Output[Float]
- final def isInstanceOf[T0]: Boolean
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- val name: String
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- val outputKeepProbability: Output[Float]
- def outputShape: OutShape
- Definition Classes
- DropoutWrapper → RNNCell
- val seed: Option[Int]
- val stateKeepProbability: Output[Float]
- def stateShape: StateShape
- Definition Classes
- DropoutWrapper → RNNCell
- final def synchronized[T0](arg0: => T0): T0
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- final def wait(arg0: Long, arg1: Int): Unit
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- def zeroOutput(batchSize: Output[Int], name: String = "ZeroOutput")(implicit evZero: Aux[Out, OutShape]): Out
- Definition Classes
- RNNCell
- def zeroState(batchSize: Output[Int], name: String = "ZeroState")(implicit evZero: Aux[State, StateShape]): State
- Definition Classes
- RNNCell