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### `tf.nn.elu(features, name=None)` {#elu}
Computes exponential linear: `exp(features) - 1` if < 0, `features` otherwise.
See [Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
](http://arxiv.org/abs/1511.07289)
##### Args:
* <b>`features`</b>: A `Tensor`. Must be one of the following types: `float32`, `float64`.
* <b>`name`</b>: A name for the operation (optional).
##### Returns:
A `Tensor`. Has the same type as `features`.
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