tf.math.log_sigmoid

Computes log sigmoid of x element-wise.

Main aliases

`tf.log_sigmoid`

Compat aliases for migration

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

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

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

Returns
A Tensor with the same type as `x`.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/math/log_sigmoid