tf.compat.v1.layers.AveragePooling2D

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

tf.compat.v1.layers.AveragePooling2D(
    pool_size, strides, padding='valid', data_format='channels_last', name=None,
    **kwargs
)

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.

Attributes
`graph`	DEPRECATED FUNCTION Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Stop using this property because tf.layers layers no longer track their graph.
`scope_name`

Arguments