tf.math.log_sigmoid

TensorFlow 2 version View source on GitHub

Computes log sigmoid of x element-wise.

Main aliases

`tf.log_sigmoid`

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.log_sigmoid, tf.compat.v1.math.log_sigmoid, `tf.compat.v2.math.log_sigmoid`

 
tf.math.log_sigmoid(
    x, name=None
)

Specifically, y = log(1 / (1 + exp(-x))). For numerical stability, we use y = -tf.nn.softplus(-x).

x A Tensor with type float32 or float64.
name A name for the operation (optional).

A Tensor with the same type as x.