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.
AlphaDropout
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An Alpha dropout layer.
Alpha Dropout is a Dropout
that keeps mean and variance of inputs to their
original values, in order to ensure the self-normalizing property even after this
dropout. Alpha Dropout fits well to Scaled Exponential Linear Units by randomly
setting activations to the negative saturation value.
Source : Self-Normalizing Neural Networks: https://arxiv.org/abs/1706.02515
-
-
Declaration
@noDerivative
public let probability: Double
-
Initializes an AlphaDropout
layer with a configurable probability
.
Precondition
probability must be a value between 0 and 1 (inclusive).
Declaration
public init(probability: Double)
Parameters
probability
|
The probability of a node dropping out.
|
-
Adds noise to input
during training, and is a no-op during inference.
Declaration
@differentiable
public func forward(_ input: Tensor<Scalar>) -> Tensor<Scalar>
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Last updated 2021-09-28 UTC.
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