SwishVector class

Applies the Sigmoid-weighted Linear Unit (SiLU / Swish) activation function to each element inside of a given input of type Tensor<Vector>. Defined mathematically as f(x) = x * sigmoid(x), this modern activation function often outperforms standard ReLU in deeper hidden layers.

The calculation is handled via the swishVector math operation.

Example:

Tensor<Vector> v = Tensor<Vector>([1.0, 2.0, 3.0]);
SwishVector swish = SwishVector();
Tensor<Vector> out = swish(v);

Implemented types

• ActivationFunction<Vector>

Constructors

SwishVector()

Properties

hashCode → int

The hash code for this object.

no setter, inherited

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

Methods

call(Tensor<Vector> input) → Tensor<Vector>

override

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

toString() → String

A string representation of this object.

inherited

Operators

operator ==(Object other) → bool

The equality operator.

inherited