tf.contrib.layers.l2_regularizer
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Returns a function that can be used to apply L2 regularization to weights.
tf.contrib.layers.l2_regularizer(
scale, scope=None
)
Small values of L2 can help prevent overfitting the training data.
Args |
|---|
scale
|
A scalar multiplier Tensor. 0.0 disables the regularizer.
|
scope
|
An optional scope name.
|
Returns |
|---|
A function with signature l2(weights) that applies L2 regularization.
|
Raises |
|---|
ValueError
|
If scale is negative or if scale is not a float.
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.contrib.layers.l2_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#L76-L109) |\n\nReturns a function that can be used to apply L2 regularization to weights. \n\n tf.contrib.layers.l2_regularizer(\n scale, scope=None\n )\n\nSmall values of L2 can help prevent overfitting the training data.\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 `l2(weights)` that applies L2 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