View source on GitHub
|
Hard sigmoid activation function.
tf.keras.activations.hard_sigmoid(
x
)
The hard sigmoid activation is defined as:
0 if if x <= -31 if x >= 3(x/6) + 0.5 if -3 < x < 3It's a faster, piecewise linear approximation of the sigmoid activation.
Args | |
|---|---|
x
|
Input tensor. |
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2024-04-11 UTC.