tf.nn.max_pool
Stay organized with collections
Save and categorize content based on your preferences.
Performs the max pooling on the input.
tf.nn.max_pool(
value, ksize, strides, padding, data_format='NHWC', name=None, input=None
)
Args |
value
|
A 4-D Tensor of the format specified by data_format .
|
ksize
|
An int or list of ints that has length 1 , 2 or 4 .
The size of the window for each dimension of the input tensor.
|
strides
|
An int or list of ints that has length 1 , 2 or 4 .
The stride of the sliding window for each dimension of the input tensor.
|
padding
|
A string, either 'VALID' or 'SAME' . The padding algorithm.
See the "returns" section of tf.nn.convolution for details.
|
data_format
|
A string. 'NHWC', 'NCHW' and 'NCHW_VECT_C' are supported.
|
name
|
Optional name for the operation.
|
input
|
Alias for value.
|
Returns |
A Tensor of format specified by data_format .
The max pooled output tensor.
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2020-10-01 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]