이 페이지는 Cloud Translation API를 통해 번역되었습니다.

유형 별칭

다음 유형 별칭은 전역적으로 사용할 수 있습니다.

선언

public typealias TensorFlowNumeric = TensorFlowScalar & Numeric

TensorFlow서명된숫자

선언

public typealias TensorFlowSignedNumeric = TensorFlowScalar & SignedNumeric

TensorFlow정수

선언

public typealias TensorFlowInteger = TensorFlowScalar & BinaryInteger

매개변수 초기화 프로그램

선언

public typealias ParameterInitializer<Scalar> = (TensorShape) -> Tensor<Scalar> where Scalar : TensorFlowScalar

비균일 추론 배치
추론에 적합한 배치 모음으로, samples 에서 batchSize 배치로 샘플을 추출합니다.
선언
public typealias NonuniformInferenceBatches<Samples: Collection> = Slices< Sampling<Samples, [Samples.Index]> >

옵티마이저콜백

선언

public typealias OptimizerCallback = (inout OptimizerWeightStepState, inout OptimizerState) -> Void

TensorFlow 시드

선언

public typealias TensorFlowSeed = (graph: Int32, op: Int32)

날것의
선언
public typealias Raw = _Raw

기본RNN

선언

public typealias BasicRNN<Scalar> = RecurrentLayer<BasicRNNCell<Scalar>> where Scalar : TensorFlowFloatingPoint

LSTM

선언

public typealias LSTM<Scalar> = RecurrentLayer<LSTMCell<Scalar>> where Scalar : TensorFlowFloatingPoint

그루

선언

public typealias GRU<Scalar> = RecurrentLayer<GRUCell<Scalar>> where Scalar : TensorFlowFloatingPoint

양방향BasicRNN

선언

public typealias BidirectionalBasicRNN<Scalar> = BidirectionalRecurrentLayer<BasicRNNCell<Scalar>> where Scalar : TensorFlowFloatingPoint

양방향LSTM

선언

public typealias BidirectionalLSTM<Scalar> = BidirectionalRecurrentLayer<LSTMCell<Scalar>> where Scalar : TensorFlowFloatingPoint

양방향GRU

선언

public typealias BidirectionalGRU<Scalar> = BidirectionalRecurrentLayer<GRUCell<Scalar>> where Scalar : TensorFlowFloatingPoint

RNN셀

선언

public typealias RNNCell = RecurrentLayerCell

RNN
선언
public typealias RNN = RecurrentLayer

SimpleRNNCell

선언

public typealias SimpleRNNCell = BasicRNNCell

단순RNN
선언
public typealias SimpleRNN = BasicRNN

순차3

3개의 레이어를 순차적으로 구성하는 레이어입니다.

선언

public typealias Sequential3<L1: Module, L2: Layer, L3: Layer> = Sequential<L1, Sequential<L2, L3>>
  where L1.Output == L2.Input, L2.Output == L3.Input,
        L1.TangentVector.VectorSpaceScalar == L2.TangentVector.VectorSpaceScalar, L2.TangentVector.VectorSpaceScalar == L3.TangentVector.VectorSpaceScalar

순차4

4개의 레이어를 순차적으로 구성하는 레이어입니다.

선언

public typealias Sequential4<L1: Module, L2: Layer, L3: Layer, L4: Layer> = Sequential<L1, Sequential<L2, Sequential<L3, L4>>>
  where L1.Output == L2.Input, L2.Output == L3.Input, L3.Output == L4.Input,
        L1.TangentVector.VectorSpaceScalar == L2.TangentVector.VectorSpaceScalar, L2.TangentVector.VectorSpaceScalar == L3.TangentVector.VectorSpaceScalar, L3.TangentVector.VectorSpaceScalar == L4.TangentVector.VectorSpaceScalar

순차5

5개의 레이어를 순차적으로 구성하는 레이어입니다.

선언

public typealias Sequential5<L1: Module, L2: Layer, L3: Layer, L4: Layer, L5: Layer> = Sequential<L1, Sequential<L2, Sequential<L3, Sequential<L4, L5>>>>
  where L1.Output == L2.Input, L2.Output == L3.Input, L3.Output == L4.Input, L4.Output == L5.Input,
        L1.TangentVector.VectorSpaceScalar == L2.TangentVector.VectorSpaceScalar, L2.TangentVector.VectorSpaceScalar == L3.TangentVector.VectorSpaceScalar, L3.TangentVector.VectorSpaceScalar == L4.TangentVector.VectorSpaceScalar, L4.TangentVector.VectorSpaceScalar == L5.TangentVector.VectorSpaceScalar

순차6

6개의 레이어를 순차적으로 구성하는 레이어입니다.

선언

public typealias Sequential6<L1: Module, L2: Layer, L3: Layer, L4: Layer, L5: Layer, L6: Layer> = Sequential<L1, Sequential<L2, Sequential<L3, Sequential<L4, Sequential<L5, L6>>>>>
  where L1.Output == L2.Input, L2.Output == L3.Input, L3.Output == L4.Input, L4.Output == L5.Input, L5.Output == L6.Input,
        L1.TangentVector.VectorSpaceScalar == L2.TangentVector.VectorSpaceScalar, L2.TangentVector.VectorSpaceScalar == L3.TangentVector.VectorSpaceScalar, L3.TangentVector.VectorSpaceScalar == L4.TangentVector.VectorSpaceScalar, L4.TangentVector.VectorSpaceScalar == L5.TangentVector.VectorSpaceScalar, L5.TangentVector.VectorSpaceScalar == L6.TangentVector.VectorSpaceScalar

순차7

7개의 레이어를 순차적으로 구성하는 레이어입니다.

선언

public typealias Sequential7<L1: Module, L2: Layer, L3: Layer, L4: Layer, L5: Layer, L6: Layer, L7: Layer> = Sequential<L1, Sequential<L2, Sequential<L3, Sequential<L4, Sequential<L5, Sequential<L6, L7>>>>>>
  where L1.Output == L2.Input, L2.Output == L3.Input, L3.Output == L4.Input, L4.Output == L5.Input, L5.Output == L6.Input, L6.Output == L7.Input,
        L1.TangentVector.VectorSpaceScalar == L2.TangentVector.VectorSpaceScalar, L2.TangentVector.VectorSpaceScalar == L3.TangentVector.VectorSpaceScalar, L3.TangentVector.VectorSpaceScalar == L4.TangentVector.VectorSpaceScalar, L4.TangentVector.VectorSpaceScalar == L5.TangentVector.VectorSpaceScalar, L5.TangentVector.VectorSpaceScalar == L6.TangentVector.VectorSpaceScalar, L6.TangentVector.VectorSpaceScalar == L7.TangentVector.VectorSpaceScalar

순차8

8개의 레이어를 순차적으로 구성하는 레이어입니다.

선언

public typealias Sequential8<L1: Module, L2: Layer, L3: Layer, L4: Layer, L5: Layer, L6: Layer, L7: Layer, L8: Layer> = Sequential<L1, Sequential<L2, Sequential<L3, Sequential<L4, Sequential<L5, Sequential<L6, Sequential<L7, L8>>>>>>>
  where L1.Output == L2.Input, L2.Output == L3.Input, L3.Output == L4.Input, L4.Output == L5.Input, L5.Output == L6.Input, L6.Output == L7.Input, L7.Output == L8.Input,
        L1.TangentVector.VectorSpaceScalar == L2.TangentVector.VectorSpaceScalar, L2.TangentVector.VectorSpaceScalar == L3.TangentVector.VectorSpaceScalar, L3.TangentVector.VectorSpaceScalar == L4.TangentVector.VectorSpaceScalar, L4.TangentVector.VectorSpaceScalar == L5.TangentVector.VectorSpaceScalar, L5.TangentVector.VectorSpaceScalar == L6.TangentVector.VectorSpaceScalar, L6.TangentVector.VectorSpaceScalar == L7.TangentVector.VectorSpaceScalar, L7.TangentVector.VectorSpaceScalar == L8.TangentVector.VectorSpaceScalar

순차9

9개의 레이어를 순차적으로 구성하는 레이어입니다.

선언

public typealias Sequential9<L1: Module, L2: Layer, L3: Layer, L4: Layer, L5: Layer, L6: Layer, L7: Layer, L8: Layer, L9: Layer> = Sequential<L1, Sequential<L2, Sequential<L3, Sequential<L4, Sequential<L5, Sequential<L6, Sequential<L7, Sequential<L8, L9>>>>>>>>
  where L1.Output == L2.Input, L2.Output == L3.Input, L3.Output == L4.Input, L4.Output == L5.Input, L5.Output == L6.Input, L6.Output == L7.Input, L7.Output == L8.Input, L8.Output == L9.Input,
        L1.TangentVector.VectorSpaceScalar == L2.TangentVector.VectorSpaceScalar, L2.TangentVector.VectorSpaceScalar == L3.TangentVector.VectorSpaceScalar, L3.TangentVector.VectorSpaceScalar == L4.TangentVector.VectorSpaceScalar, L4.TangentVector.VectorSpaceScalar == L5.TangentVector.VectorSpaceScalar, L5.TangentVector.VectorSpaceScalar == L6.TangentVector.VectorSpaceScalar, L6.TangentVector.VectorSpaceScalar == L7.TangentVector.VectorSpaceScalar, L7.TangentVector.VectorSpaceScalar == L8.TangentVector.VectorSpaceScalar, L8.TangentVector.VectorSpaceScalar == L9.TangentVector.VectorSpaceScalar

순차10

10개의 레이어를 순차적으로 구성하는 레이어입니다.

선언

public typealias Sequential10<L1: Module, L2: Layer, L3: Layer, L4: Layer, L5: Layer, L6: Layer, L7: Layer, L8: Layer, L9: Layer, L10: Layer> = Sequential<L1, Sequential<L2, Sequential<L3, Sequential<L4, Sequential<L5, Sequential<L6, Sequential<L7, Sequential<L8, Sequential<L9, L10>>>>>>>>>
  where L1.Output == L2.Input, L2.Output == L3.Input, L3.Output == L4.Input, L4.Output == L5.Input, L5.Output == L6.Input, L6.Output == L7.Input, L7.Output == L8.Input, L8.Output == L9.Input, L9.Output == L10.Input,
        L1.TangentVector.VectorSpaceScalar == L2.TangentVector.VectorSpaceScalar, L2.TangentVector.VectorSpaceScalar == L3.TangentVector.VectorSpaceScalar, L3.TangentVector.VectorSpaceScalar == L4.TangentVector.VectorSpaceScalar, L4.TangentVector.VectorSpaceScalar == L5.TangentVector.VectorSpaceScalar, L5.TangentVector.VectorSpaceScalar == L6.TangentVector.VectorSpaceScalar, L6.TangentVector.VectorSpaceScalar == L7.TangentVector.VectorSpaceScalar, L7.TangentVector.VectorSpaceScalar == L8.TangentVector.VectorSpaceScalar, L8.TangentVector.VectorSpaceScalar == L9.TangentVector.VectorSpaceScalar, L9.TangentVector.VectorSpaceScalar == L10.TangentVector.VectorSpaceScalar