Average pooling operation for spatial data.
tf.keras.layers.AveragePooling2D(
pool_size=(2, 2), strides=None, padding='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).
|
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)
.
Output shape:
- 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)
.