tf.keras.layers.AveragePooling2D

Average pooling operation for spatial data.

Inherits From: Layer, Module

Main aliases

tf.keras.layers.AvgPool2D

Compat aliases for migration

See Migration guide for more details.

tf.keras.layers.AveragePooling2D(
    pool_size=(2, 2), strides=None, padding=&#x27;valid', data_format=None,
    **kwargs
)

Arguments
`pool_size`	integer or tuple of 2 integers, factors by which to downscale (vertical, horizontal). `(2, 2)` will halve the input in both spatial dimension. If only one integer is specified, the same window length will be used for both dimensions.
`strides`	Integer, tuple of 2 integers, or None. Strides values. If None, it will default to `pool_size`.
`padding`	One of `"valid"` or `"same"` (case-insensitive). `"valid"` means no padding. `"same"` results in padding evenly to the left/right or up/down of the input such that output has the same height/width dimension as the input.
`data_format`	A string, one of `channels_last` (default) or `channels_first`. The ordering of the dimensions in the inputs. `channels_last` corresponds to inputs with shape `(batch, height, width, channels)` while `channels_first` corresponds to inputs with shape `(batch, channels, height, width)`. It defaults to the `image_data_format` value found in your Keras config file at `~/.keras/keras.json`. If you never set it, then it will be "channels_last".

If data_format='channels_last': 4D tensor with shape (batch_size, rows, cols, channels).
If data_format='channels_first': 4D tensor with shape (batch_size, channels, rows, cols).

If data_format='channels_last': 4D tensor with shape (batch_size, pooled_rows, pooled_cols, channels).
If data_format='channels_first': 4D tensor with shape (batch_size, channels, pooled_rows, pooled_cols).

Arguments