Warning: This project is deprecated. Swift for TensorFlow was an experiment in the
next-generation platform for machine learning, incorporating the latest research across
machine learning, compilers, differentiable programming, systems design, and beyond. It was
archived in February 2021.
RecurrentLayer
Stay organized with collections
Save and categorize content based on your preferences.
public struct RecurrentLayer<Cell> : Layer where Cell : RecurrentLayerCell
extension RecurrentLayer: Equatable where Cell: Equatable
extension RecurrentLayer: AdditiveArithmetic where Cell: AdditiveArithmetic
-
Declaration
public typealias Input = [Cell.TimeStepInput]
-
Declaration
public typealias Output = [Cell.TimeStepOutput]
-
-
Declaration
public init(_ cell: @autoclosure () -> Cell)
-
Declaration
@differentiable(wrt: (self, inputs, initialState)
public func callAsFunction(
_ inputs: [Cell.TimeStepInput],
initialState: Cell.State
) -> [Cell.TimeStepOutput]
-
Declaration
@differentiable(wrt: (self, inputs, initialState)
public func call(
_ inputs: [Cell.TimeStepInput],
initialState: Cell.State
) -> [Cell.TimeStepOutput]
-
Declaration
@differentiable
public func callAsFunction(_ inputs: [Cell.TimeStepInput]) -> [Cell.TimeStepOutput]
-
Declaration
@differentiable(wrt: (self, inputs, initialState)
public func lastOutput(
from inputs: [Cell.TimeStepInput],
initialState: Cell.State
) -> Cell.TimeStepOutput
-
Declaration
@differentiable(wrt: (self, inputs)
) public func lastOutput(from inputs: [Cell.TimeStepInput]) -> Cell.TimeStepOutput
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2021-09-28 UTC.
[{
"type": "thumb-down",
"id": "missingTheInformationINeed",
"label":"Missing the information I need"
},{
"type": "thumb-down",
"id": "tooComplicatedTooManySteps",
"label":"Too complicated / too many steps"
},{
"type": "thumb-down",
"id": "outOfDate",
"label":"Out of date"
},{
"type": "thumb-down",
"id": "samplesCodeIssue",
"label":"Samples / code issue"
},{
"type": "thumb-down",
"id": "otherDown",
"label":"Other"
}]
[{
"type": "thumb-up",
"id": "easyToUnderstand",
"label":"Easy to understand"
},{
"type": "thumb-up",
"id": "solvedMyProblem",
"label":"Solved my problem"
},{
"type": "thumb-up",
"id": "otherUp",
"label":"Other"
}]
{"lastModified": "Last updated 2021-09-28 UTC."}
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2021-09-28 UTC."]]