View source on GitHub |
Leaky relu activation function.
tf.keras.activations.leaky_relu(
x, negative_slope=0.2
)
Args | |
---|---|
x
|
Input tensor. |
negative_slope
|
A float that controls the slope
for values lower than the threshold.
|
View source on GitHub |
Leaky relu activation function.
tf.keras.activations.leaky_relu(
x, negative_slope=0.2
)
Args | |
---|---|
x
|
Input tensor. |
negative_slope
|
A float that controls the slope
for values lower than the threshold.
|
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 2024-06-07 UTC.