tf.layers.average_pooling2d
tf.layers.average_pooling2d
tf.layers.average_pooling2d
average_pooling2d( inputs, pool_size, strides, padding='valid', data_format='channels_last', name=None )
Defined in tensorflow/python/layers/pooling.py
.
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) andchannels_first
are supported.channels_last
corresponds to inputs with shape(batch, height, width, channels)
whilechannels_first
corresponds to inputs with shape(batch, channels, height, width)
. -
name
: A string, the name of the layer.
Returns:
Output tensor.
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/layers/average_pooling2d