tf.compat.v1.layers.AveragePooling2D

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

Inherits From: AveragePooling2D, Layer

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