Dropout class

Inheritance

• Object
• Module
• Dropout

Constructors

Dropout(double p, {Random? rng})

Properties

hashCode → int

The hash code for this object.

no setter, inherited

p → double

Fraction of activations to zero out. Must be in [0, 1).

final

rng → Random?

Optional RNG for reproducible masks. When null, uses a fresh math.Random() each forward.

final

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

training ↔ bool

Whether this module is in training mode. Layers that behave differently between training and inference (e.g. Dropout) read this flag in their call method. Defaults to training mode.

getter/setter pair, inherited

Methods

call(Tensor x) → Tensor

eval() → void

Put this module (and any registered submodules) into evaluation mode.

inherited

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

parameters() → List<Tensor>

Trainable tensors owned by this module (and its submodules).

override

submodules() → List<Module>

Submodules owned by this module. Subclasses that compose other modules should override this so train() / eval() propagate. Default: empty.

inherited

toString() → String

A string representation of this object.

inherited

train() → void

Put this module (and any registered submodules) into training mode.

inherited

zeroGrad() → void

Zero every parameter's gradient. Safe to call before each backward.

inherited

Operators

operator ==(Object other) → bool

The equality operator.

inherited