description: Softsign activation function, softsign(x) = x / (abs(x) + 1).

tf.keras.activations.softsign

Softsign activation function, softsign(x) = x / (abs(x) + 1).

tf.keras.activations.softsign(
    x
)

Example Usage:

>>> a = tf.constant([-1.0, 0.0, 1.0], dtype = tf.float32)
>>> b = tf.keras.activations.softsign(a)
>>> b.numpy()
array([-0.5,  0. ,  0.5], dtype=float32)

Arguments

x Input tensor.

Returns

The softsign activation: x / (abs(x) + 1).