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tf.layers.AveragePooling2D

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Class AveragePooling2D

Average pooling layer for 2D inputs (e.g. images).

Inherits From: AveragePooling2D, Layer

Aliases:

  • Class tf.compat.v1.layers.AveragePooling2D

Arguments:

  • pool_size: An integer or tuple/list of 2 integers: (pool_height, pool_width) specifying the size of the pooling window. Can be a single integer to specify the same value for all spatial dimensions.
  • strides: An integer or tuple/list of 2 integers, specifying the strides of the pooling operation. Can be a single integer to specify the same value for all spatial dimensions.
  • padding: A string. The padding method, either 'valid' or 'same'. Case-insensitive.
  • data_format: A string. The ordering of the dimensions in the inputs. channels_last (default) and channels_first are supported. channels_last corresponds to inputs with shape (batch, height, width, channels) while channels_first corresponds to inputs with shape (batch, channels, height, width).
  • name: A string, the name of the layer.

__init__

View source

__init__(
    pool_size,
    strides,
    padding='valid',
    data_format='channels_last',
    name=None,
    **kwargs
)

Properties

graph

DEPRECATED FUNCTION

scope_name