tf.math.log_sigmoid
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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.
|
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Last updated 2020-10-01 UTC.
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TensorFlow 1 version
View source on GitHub