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.
Sequential
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public struct Sequential<Layer1: Module, Layer2: Layer>: Module
where Layer1.Output == Layer2.Input,
Layer1.TangentVector.VectorSpaceScalar == Layer2.TangentVector.VectorSpaceScalar
extension Sequential: Layer where Layer1: Layer
A layer that sequentially composes two or more other layers.
Examples:
- Build a simple 2-layer perceptron model for MNIST:
let inputSize = 28 * 28
let hiddenSize = 300
var classifier = Sequential {
Dense<Float>(inputSize: inputSize, outputSize: hiddenSize, activation: relu)
Dense<Float>(inputSize: hiddenSize, outputSize: 3, activation: identity)
}
- Build an autoencoder for MNIST:
var autoencoder = Sequential {
// The encoder.
Dense<Float>(inputSize: 28 * 28, outputSize: 128, activation: relu)
Dense<Float>(inputSize: 128, outputSize: 64, activation: relu)
Dense<Float>(inputSize: 64, outputSize: 12, activation: relu)
Dense<Float>(inputSize: 12, outputSize: 3, activation: relu)
// The decoder.
Dense<Float>(inputSize: 3, outputSize: 12, activation: relu)
Dense<Float>(inputSize: 12, outputSize: 64, activation: relu)
Dense<Float>(inputSize: 64, outputSize: 128, activation: relu)
Dense<Float>(inputSize: 128, outputSize: imageHeight * imageWidth, activation: tanh)
}
-
Declaration
public var layer1: Layer1
-
Declaration
public var layer2: Layer2
-
Declaration
public init(_ layer1: Layer1, _ layer2: Layer2)
-
Declaration
@differentiable(wrt: self)
public func callAsFunction(_ input: Layer1.Input) -> Layer2.Output
-
Declaration
public init(@LayerBuilder layers: () -> `Self`)
-
Declaration
@differentiable
public func callAsFunction(_ input: Layer1.Input) -> Layer2.Output
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Last updated 2021-09-28 UTC.
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