tf.keras.backend.hard_sigmoid
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Segment-wise linear approximation of sigmoid.
tf.keras.backend.hard_sigmoid(
x
)
Faster than sigmoid.
Returns 0. if x < -2.5, 1. if x > 2.5.
In -2.5 <= x <= 2.5, returns 0.2 * x + 0.5.
Arguments |
|---|
x
|
A tensor or variable.
|
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Last updated 2020-10-01 UTC.
[null,null,["Last updated 2020-10-01 UTC."],[],[],null,["# tf.keras.backend.hard_sigmoid\n\n\u003cbr /\u003e\n\n|------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------|\n| [TensorFlow 2 version](/api_docs/python/tf/keras/backend/hard_sigmoid) | [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/python/keras/backend.py#L4500-L4519) |\n\nSegment-wise linear approximation of sigmoid.\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.backend.hard_sigmoid`](/api_docs/python/tf/keras/backend/hard_sigmoid), \\`tf.compat.v2.keras.backend.hard_sigmoid\\`\n\n\u003cbr /\u003e\n\n tf.keras.backend.hard_sigmoid(\n x\n )\n\nFaster than sigmoid.\nReturns `0.` if `x \u003c -2.5`, `1.` if `x \u003e 2.5`.\nIn `-2.5 \u003c= x \u003c= 2.5`, returns `0.2 * x + 0.5`.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Arguments --------- ||\n|-----|-----------------------|\n| `x` | A tensor or variable. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A tensor. ||\n\n\u003cbr /\u003e"]]
TensorFlow 2 version
View source on GitHub