On this page
tf.math.log_sigmoid
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/r2.3/api_docs/python/tf/math/log_sigmoid