tf.keras.layers.ThresholdedReLU
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Thresholded Rectified Linear Unit.
Inherits From: Layer, Module
tf.keras.layers.ThresholdedReLU(
theta=1.0, **kwargs
)
It follows:
f(x) = x for x > theta
f(x) = 0 otherwise`
|
|---|
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.
|
Args |
|---|
theta
|
Float >= 0. Threshold location of activation.
|
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Last updated 2022-10-27 UTC.
[null,null,["Last updated 2022-10-27 UTC."],[],[],null,["# tf.keras.layers.ThresholdedReLU\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/keras-team/keras/tree/v2.7.0/keras/layers/advanced_activations.py#L228-L274) |\n\nThresholded Rectified Linear Unit.\n\nInherits From: [`Layer`](../../../tf/keras/layers/Layer), [`Module`](../../../tf/Module)\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.keras.layers.ThresholdedReLU`](https://www.tensorflow.org/api_docs/python/tf/keras/layers/ThresholdedReLU)\n\n\u003cbr /\u003e\n\n tf.keras.layers.ThresholdedReLU(\n theta=1.0, **kwargs\n )\n\n#### It follows:\n\n f(x) = x for x \u003e theta\n f(x) = 0 otherwise`\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Input shape ----------- ||\n|---|---|\n| 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. ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Output shape ------------ ||\n|---|---|\n| Same shape as the input. ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------|------------------------------------------------|\n| `theta` | Float \\\u003e= 0. Threshold location of activation. |\n\n\u003cbr /\u003e"]]
View source on GitHub