tf.keras.activations.hard_silu
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Hard SiLU activation function, also known as Hard Swish.
tf.keras.activations.hard_silu(
x
)
It is defined as:
0 if if x < -3x if x > 3x * (x + 3) / 6 if -3 <= x <= 3
It's a faster, piecewise linear approximation of the silu activation.
Reference:
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Last updated 2024-06-07 UTC.
[null,null,["Last updated 2024-06-07 UTC."],[],[],null,["# tf.keras.activations.hard_silu\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/keras-team/keras/tree/v3.3.3/keras/src/activations/activations.py#L377-L397) |\n\nHard SiLU activation function, also known as Hard Swish.\n\n#### View aliases\n\n\n**Main aliases**\n\n[`tf.keras.activations.hard_swish`](https://www.tensorflow.org/api_docs/python/tf/keras/activations/hard_silu)\n\n\u003cbr /\u003e\n\n tf.keras.activations.hard_silu(\n x\n )\n\n#### It is defined as:\n\n- `0` if `if x \u003c -3`\n- `x` if `x \u003e 3`\n- `x * (x + 3) / 6` if `-3 \u003c= x \u003c= 3`\n\nIt's a faster, piecewise linear approximation of the silu activation.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-----|---------------|\n| `x` | Input tensor. |\n\n\u003cbr /\u003e\n\n#### Reference:\n\n- [A Howard, 2019](https://arxiv.org/abs/1905.02244)"]]
View source on GitHub
