İki veya daha fazla katmanı sırayla oluşturan katman.
Örnekler:
- MNIST için basit bir 2 katmanlı algılayıcı modeli oluşturun:
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)
}
- MNIST için bir otomatik kodlayıcı oluşturun:
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)
}
beyan
public var layer1: Layer1
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public var layer2: Layer2
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public init(_ layer1: Layer1, _ layer2: Layer2)
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@differentiable(wrt: self) public func callAsFunction(_ input: Layer1.Input) -> Layer2.Output
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public init(@LayerBuilder layers: () -> `Self`)
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@differentiable public func callAsFunction(_ input: Layer1.Input) -> Layer2.Output