SoftmaxMatrix class

Applies the softmax function over a given input of type Tensor<Matrix>. Creates a probability distribution over all values of each row summing up to 1. The calculation is handled via the softmaxMatrix math operation.

Example:

Tensor<Matrix> m = Tensor<Matrix>([[1.0, 2.0], [3.0, 4.0]]);
SoftmaxMatrix softmax = SoftmaxMatrix();
Tensor<Matrix> out = softmax(m);

Implemented types

• ActivationFunction<Matrix>

Constructors

SoftmaxMatrix()

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<Matrix> input) → Tensor<Matrix>

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