public struct LSTMCell<Scalar> : RecurrentLayerCell where Scalar : TensorFlowFloatingPointLSTM 셀.
선언
public var fusedWeight: Tensor<Scalar>선언
public var fusedBias: Tensor<Scalar>선언
public var inputWeight: Tensor<Scalar> { get }선언
public var updateWeight: Tensor<Scalar> { get }선언
public var forgetWeight: Tensor<Scalar> { get }선언
public var outputWeight: Tensor<Scalar> { get }선언
public var inputBias: Tensor<Scalar> { get }선언
public var updateBias: Tensor<Scalar> { get }선언
public var forgetBias: Tensor<Scalar> { get }선언
public var outputBias: Tensor<Scalar> { get }선언
public typealias TimeStepInput = Tensor<Scalar>선언
public typealias TimeStepOutput = State선언
public typealias Input = RNNCellInput<TimeStepInput, State>선언
public typealias Output = RNNCellOutput<TimeStepOutput, State>지정된 입력 크기와 숨겨진 상태 크기를 사용하여
LSTMCell만듭니다.선언
public init(inputSize: Int, hiddenSize: Int)매개변수
inputSize2차원 입력 텐서의 기능 수입니다.
hiddenSize2차원 숨겨진 상태의 특징 수입니다.
선언
public struct State : Equatable, Differentiable, VectorProtocol, KeyPathIterable, Mergeable