Adam class

Inheritance

• Object
• Optimizer
• Adam

Constructors

Adam(List<Tensor> parameters, {double lr = 1e-3, double beta1 = 0.9, double beta2 = 0.999, double eps = 1e-8, double weightDecay = 0.0})

Properties

beta1 → double

final

beta2 → double

final

eps → double

final

hashCode → int

The hash code for this object.

no setter, inherited

lr ↔ double

Current learning rate. Mutable so that LRSchedulers can adjust it across training steps.

getter/setter pair, override

parameters → List<Tensor>

The parameters this optimizer updates. Order is stable.

final, inherited

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

weightDecay → double

final

Methods

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

step() → void

Apply one update step using each parameter's current .grad. Parameters with grad == null are skipped.

override

toString() → String

A string representation of this object.

inherited

zeroGrad() → void

Zero the gradient buffer of every registered parameter.

inherited

Operators

operator ==(Object other) → bool

The equality operator.

inherited