tf.keras.activations.silu | TensorFlow v2.16.1 (original) (raw)
tf.keras.activations.silu
Swish (or Silu) activation function.
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Main aliases
tf.keras.activations.silu(
x
)
It is defined as: swish(x) = x * sigmoid(x).
The Swish (or Silu) activation function is a smooth, non-monotonic function that is unbounded above and bounded below.
| Args | |
|---|---|
| x | Input tensor. |
Reference:
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Last updated 2024-06-07 UTC.