# tf.keras.regularizers.l1_l2

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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/keras-team/keras/tree/v2.13.1/keras/regularizers.py#L394-L411) |

Create a regularizer that applies both L1 and L2 penalties.

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

\`tf.compat.v1.keras.regularizers.l1_l2\`

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    tf.keras.regularizers.l1_l2(
        l1=0.01, l2=0.01
    )

The L1 regularization penalty is computed as:
`loss = l1 * reduce_sum(abs(x))`

The L2 regularization penalty is computed as:
`loss = l2 * reduce_sum(square(x))`

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| ## Args ||
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| `l1` | Float; L1 regularization factor. |
| `l2` | Float; L2 regularization factor. |

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| ## Returns ||
|---|---|
| An L1L2 Regularizer with the given regularization factors. ||

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