tf.keras.layers.ThresholdedReLU
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Thresholded Rectified Linear Unit.
Inherits From: Layer
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.
Arguments |
|---|
theta
|
Float >= 0. Threshold location of activation.
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.keras.layers.ThresholdedReLU\n\n\u003cbr /\u003e\n\n|--------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 2 version](/api_docs/python/tf/keras/layers/ThresholdedReLU) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/keras/layers/advanced_activations.py#L200-L235) |\n\nThresholded Rectified Linear Unit.\n\nInherits From: [`Layer`](../../../tf/keras/layers/Layer)\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`](/api_docs/python/tf/keras/layers/ThresholdedReLU), \\`tf.compat.v2.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#### Input shape:\n\nArbitrary. Use the keyword argument `input_shape`\n(tuple of integers, does not include the samples axis)\nwhen using this layer as the first layer in a model.\n\n#### Output shape:\n\nSame shape as the input.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Arguments --------- ||\n|---------|------------------------------------------------|\n| `theta` | Float \\\u003e= 0. Threshold location of activation. |\n\n\u003cbr /\u003e"]]
TensorFlow 2 version
View source on GitHub