tf.keras.activations.sigmoid

TensorFlow 1 version

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Softplus activation function, softplus(x) = log(exp(x) + 1).

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.activations.softplus

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)

Arguments
`x`	Input tensor.

Returns
The softplus activation: `log(exp(x) + 1)`.

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tf.keras / activations / activations.sigmoid

View aliases

Example Usage:

Arguments

Returns