MaxPooling2DLayer class
A 2D max pooling layer.
This layer downsamples an input feature map by taking the maximum value
over a specified window (poolSize). This helps to make the representation
more compact and more robust to the precise location of features.
It is a standard component in most Convolutional Neural Networks, typically
applied after a Conv2DLayer.
Constructors
- MaxPooling2DLayer({int poolSize = 2, int stride = 2})
Properties
- hashCode → int
-
The hash code for this object.
no setterinherited
- inputHeight ↔ int
-
getter/setter pair
- inputWidth ↔ int
-
getter/setter pair
-
maxIndices
↔ List<
List< List< >int> > -
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
- poolSize ↔ int
-
getter/setter pair
- runtimeType → Type
-
A representation of the runtime type of the object.
no setterinherited
- stride ↔ int
-
getter/setter pair
Methods
-
build(
Tensor input) → void -
Initializes the layer's parameters based on the shape of the first input.
override
-
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