Hard sigmoid activation function.
tf.keras.activations.hard_sigmoid(
x
)
The hard sigmoid activation is defined as:
0 if if x <= -3
1 if x >= 3
(x/6) + 0.5 if -3 < x < 3
It's a faster, piecewise linear approximation of the sigmoid activation.
| Args | |
|---|---|
x | Input tensor. |
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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/hard_sigmoid