| View source on GitHub |
Computes log sigmoid of x element-wise.
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