SGD class

Implements the Stochastic Gradient Descent (SGD) optimization algorithm. Updates parameters in the opposite direction of the gradient scaled directly by learningRate.

Inheritance

• Object
• Optimizer
• SGD

Constructors

SGD(List<Tensor> parameters, double learningRate)

Creates an SGD optimizer for parameters with the specified learningRate.

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

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, updating parameter values proportional to their gradients.

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