# tf.nn.relu

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Computes rectified linear: `max(features, 0)`.

#### View aliases


**Compat aliases for migration**

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

[`tf.compat.v1.nn.relu`](https://www.tensorflow.org/api_docs/python/tf/nn/relu)

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    tf.nn.relu(
        features, name=None
    )

See: <https://en.wikipedia.org/wiki/Rectifier_(neural_networks)>
Example usage:

    >>> tf.nn.relu([-2., 0., 3.]).numpy()
    array([0., 0., 3.], dtype=float32)

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| ## Args ||
|---|---|
| `features` | A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `uint8`, `int16`, `int8`, `int64`, `bfloat16`, `uint16`, `half`, `uint32`, `uint64`, `qint8`. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A `Tensor`. Has the same type as `features`. ||

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