AveragePooling2DLayer

Bases: _Pooling2DLayer

An average pooling 2D Layer.

Parameters:

Name	Type	Description	Default
kernel_size	int	the size of the kernel	required
stride	int	the stride of the pooling	-1
padding	int	the padding of the pooling	0

Attributes:

Name	Type	Description
input_size	ModelImageSize	Get the input_size of this layer.
output_size	ModelImageSize	Get the output_size of this layer.

Source code in src/safeds/ml/nn/layers/_pooling2d_layer.py

class AveragePooling2DLayer(_Pooling2DLayer):
    """
    An average pooling 2D Layer.

    Parameters
    ----------
    kernel_size:
        the size of the kernel
    stride:
        the stride of the pooling
    padding:
        the padding of the pooling
    """

    def __init__(self, kernel_size: int, *, stride: int = -1, padding: int = 0) -> None:
        super().__init__("avg", kernel_size, stride=stride, padding=padding)

input_size

Get the input_size of this layer.

Returns:

Name	Type	Description
result	ModelImageSize	The amount of values being passed into this layer.

Raises:

Type	Description
ValueError	If the input_size is not yet set

output_size

Get the output_size of this layer.

Returns:

Name	Type	Description
result	ModelImageSize	The number of neurons in this layer.

Raises:

Type	Description
ValueError	If the input_size is not yet set