SimpleRNNCcell،SimpleRNNCcell

public var weight: Tensor<Scalar>

public var bias: Tensor<Scalar>

public struct State : Equatable, Differentiable, VectorProtocol, KeyPathIterable

public typealias TimeStepInput = Tensor<Scalar>

public typealias TimeStepOutput = State

public typealias Input = RNNCellInput<TimeStepInput, State>

public typealias Output = RNNCellOutput<TimeStepOutput, State>

public init(inputSize: Int, hiddenSize: Int, seed: TensorFlowSeed = Context.local.randomSeed)

public func zeroState(for input: Tensor<Scalar>) -> State

@differentiable
public func callAsFunction(_ input: Input) -> Output

public var weight: Tensor<Scalar>

public var bias: Tensor<Scalar>

public struct State : Equatable, Differentiable, VectorProtocol, KeyPathIterable

public typealias TimeStepInput = Tensor<Scalar>

public typealias TimeStepOutput = State

public typealias Input = RNNCellInput<TimeStepInput, State>

public typealias Output = RNNCellOutput<TimeStepOutput, State>

public init(inputSize: Int, hiddenSize: Int, seed: TensorFlowSeed = Context.local.randomSeed)

public func zeroState(for input: Tensor<Scalar>) -> State

@differentiable
public func callAsFunction(_ input: Input) -> Output