tf.contrib.layers.l1_regularizer
Stay organized with collections
Save and categorize content based on your preferences.
Returns a function that can be used to apply L1 regularization to weights.
tf.contrib.layers.l1_regularizer(
scale, scope=None
)
L1 regularization encourages sparsity.
Args |
scale
|
A scalar multiplier Tensor . 0.0 disables the regularizer.
|
scope
|
An optional scope name.
|
Returns |
A function with signature l1(weights) that apply L1 regularization.
|
Raises |
ValueError
|
If scale is negative or if scale is not a float.
|
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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]