tf.math.log_sigmoid | TensorFlow v2.0.0 (original) (raw)
tf.math.log_sigmoid
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Computes log sigmoid of x element-wise.
View aliases
Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.log_sigmoid, tf.compat.v1.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).
| 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. |
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Last updated 2020-10-01 UTC.