# tf.layers.average_pooling2d(inputs, pool_size, strides, padding='valid', data_format='channels_last', name=None)

### tf.layers.average_pooling2d(inputs, pool_size, strides, padding='valid', data_format='channels_last', name=None)

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

#### Arguments:

• inputs: The tensor over which to pool. Must have rank 4.
• 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, channels, width) while channels_first corresponds to inputs with shape (batch, channels, height, width).
• name: A string, the name of the layer.

Output tensor.