DropoutLayerMatrix class
A Dropout layer for regularizing 2D Matrix data.
During training, it randomly sets a fraction of input units to 0 with a
frequency of rate. This is applied to each element of the matrix independently.
This layer should only be active during training.
Constructors
- DropoutLayerMatrix(double rate)
Properties
- hashCode → int
-
The hash code for this object.
no setterinherited
- isTraining ↔ bool
-
getter/setter pair
- name ↔ String
-
A user-friendly name for the layer (e.g., 'dense', 'lstm').
getter/setter pairoverride-getter
-
parameters
→ List<
Tensor> -
A list of all trainable tensors (weights and biases) in the layer.
no setteroverride
- rate ↔ double
-
getter/setter pair
- runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
Methods
-
build(
Tensor input) → void -
Initializes the layer's parameters based on the shape of the first input.
inherited
-
call(
Tensor input) → Tensor -
The public, callable interface for the layer.
inherited
-
forward(
Tensor input) → Tensor< Matrix> -
The core logic of the layer's transformation.
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