Softmax class

An activation function that applies Softmax to a Vector.

Softmax converts a vector of real numbers (logits) into a probability distribution where all elements sum to 1. It is the standard activation for the output layer in multi-class classification problems.

This version is designed to work on a single 1D Vector input.

Implemented types

• ActivationFunction

Constructors

Softmax()

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 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