@frozen
public struct Dropout<Scalar> : ParameterlessLayer where Scalar : TensorFlowFloatingPoint

A dropout layer.

Dropout consists in randomly setting a fraction of input units to 0 at each update during training time, which helps prevent overfitting.

  • Declaration

    @noDerivative
public let probability: Double

  • Creates a dropout layer.

    Declaration

    public init(probability: Double)

    Parameters

    probability

    The drop probability.

  • Returns the output obtained from applying the layer to the given input.

    Declaration

    @differentiable
public func callAsFunction(_ input: Tensor<Scalar>) -> Tensor<Scalar>

    Parameters

    input

    The input to the layer.

    Return Value

    The output.