NAG class

Implements Nesterov Accelerated Gradient (NAG) optimization. Incorporates momentum by computing the parameter update step using a look-ahead velocity term.

Inheritance

• Object
• Optimizer
• NAG

Constructors

NAG(List<Tensor> parameters, {required double learningRate, double momentum = 0.9})

Creates a NAG optimizer for parameters with the given learningRate and momentum factor.

Properties

hashCode → int

The hash code for this object.

no setter, inherited

learningRate ↔ double

The step size factor applied during parameter updates.

getter/setter pair, inherited

momentum ↔ double

The momentum factor determining the contribution of past update velocities.

getter/setter pair

parameters ↔ List<Tensor>

The collection of trainable parameter tensors managed by this optimizer.

getter/setter pair, inherited

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

Methods

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

step() → void

Performs a single optimization step using the Nesterov momentum update rule.

override

toString() → String

A string representation of this object.

inherited

zeroGrad() → void

Clears gradients by resetting the gradient buffer of every managed tensor in parameters to 0.0.

inherited

Operators

operator ==(Object other) → bool

The equality operator.

inherited