tf.math.softplus
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Computes elementwise softplus: softplus(x) = log(exp(x) + 1)
.
tf.math.softplus(
features, name=None
)
Used in the notebooks
Used in the guide |
Used in the tutorials |
|
|
softplus
is a smooth approximation of relu
. Like relu
, softplus
always
takes on positive values.
![](https://www.tensorflow.org/images/softplus.png)
Example:
import tensorflow as tf
tf.math.softplus(tf.range(0, 2, dtype=tf.float32)).numpy()
array([0.6931472, 1.3132616], dtype=float32)
Args |
features
|
Tensor
|
name
|
Optional: name to associate with this operation.
|
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Last updated 2024-04-26 UTC.
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