tf.keras.activations.silu
Swish (or Silu) activation function.
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:
© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/keras/activations/silu
