tf.keras.ops.squareplus
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Squareplus activation function.
tf.keras.ops.squareplus(
x, b=4
)
The Squareplus activation function is defined as:
f(x) = (x + sqrt(x^2 + b)) / 2
Args |
|---|
x
|
Input tensor.
|
b
|
Smoothness parameter. Defaults to 4.
|
Returns |
|---|
A tensor with the same shape as x.
|
Example:
x = np.array([-1.0, 0.0, 1.0])
x_squareplus = keras.ops.squareplus(x)
print(x_squareplus)
array([0.6180, 1.0000, 1.6180], dtype=float32)
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Last updated 2026-10-31 UTC.
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View source on GitHub