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.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.contrib.layers.l1_regularizer\n\n\u003cbr /\u003e\n\n|------------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/contrib/layers/python/layers/regularizers.py#L37-L73) |\n\nReturns a function that can be used to apply L1 regularization to weights. \n\n tf.contrib.layers.l1_regularizer(\n scale, scope=None\n )\n\nL1 regularization encourages sparsity.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------|-------------------------------------------------------------|\n| `scale` | A scalar multiplier `Tensor`. 0.0 disables the regularizer. |\n| `scope` | An optional scope name. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A function with signature `l1(weights)` that apply L1 regularization. ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Raises ------ ||\n|--------------|--------------------------------------------------|\n| `ValueError` | If scale is negative or if scale is not a float. |\n\n\u003cbr /\u003e"]]
View source on GitHub