# tf.keras.layers.ThresholdedReLU

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|---|---|
| [![](https://www.tensorflow.org/images/tf_logo_32px.png) TensorFlow 1 version](https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/keras/layers/ThresholdedReLU) | [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.0.0/tensorflow/python/keras/layers/advanced_activations.py#L200-L235) |

Thresholded Rectified Linear Unit.

Inherits From: [`Layer`](https://www.tensorflow.org/versions/r2.0/api_docs/python/tf/keras/layers/Layer)

#### View aliases


**Compat aliases for migration**

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

[`tf.compat.v1.keras.layers.ThresholdedReLU`](https://www.tensorflow.org/api_docs/python/tf/keras/layers/ThresholdedReLU)

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    tf.keras.layers.ThresholdedReLU(
        theta=1.0, **kwargs
    )

#### It follows:

`f(x) = x for x > theta`,
`f(x) = 0 otherwise`.

#### Input shape:

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.

#### Output shape:

Same shape as the input.

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| ## Arguments ||
|---|---|
| `theta` | Float \>= 0. Threshold location of activation. |

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