# tf.keras.layers.ELU

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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/layers/activation/elu.py#L26-L69) |

Exponential Linear Unit.

Inherits From: [`Layer`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/keras/layers/Layer), [`Module`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/Module)

#### View aliases


**Compat aliases for migration**

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

\`tf.compat.v1.keras.layers.ELU\`

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    tf.keras.layers.ELU(
        alpha=1.0, **kwargs
    )

#### It follows:

        f(x) =  alpha * (exp(x) - 1.) for x < 0
        f(x) = x for x >= 0

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| ## Input shape ||
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| Arbitrary. Use the keyword argument `input_shape` (tuple of integers, does not include the samples axis) when using this layer as the first layer in a model. ||

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| ## Output shape ||
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| Same shape as the input. ||

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| ## Args ||
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| `alpha` | Scale for the negative factor. |

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