tf.nn.relu6
Stay organized with collections
Save and categorize content based on your preferences.
Computes Rectified Linear 6: min(max(features, 0), 6).
tf.nn.relu6(
features, name=None
)
Source: Convolutional Deep Belief Networks on CIFAR-10. A.
Krizhevsky
Args |
|---|
features
|
A Tensor with type float, double, int32, int64, uint8,
int16, or int8.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor with the same type as features.
|
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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]
TensorFlow 1 version
View source on GitHub