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Softplus activation function, softplus(x) = log(exp(x) + 1).
tf.keras.activations.softplus(
x
)
Example Usage:
a = tf.constant([-20, -1.0, 0.0, 1.0, 20], dtype = tf.float32)b = tf.keras.activations.softplus(a)b.numpy()array([2.0611537e-09, 3.1326166e-01, 6.9314718e-01, 1.3132616e+00,2.0000000e+01], dtype=float32)
Args | |
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x
|
Input tensor. |
Returns | |
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The softplus activation: log(exp(x) + 1).
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