tf.math.log_sigmoid

Computes log sigmoid of x element-wise.

Main aliases

`tf.log_sigmoid`

Compat aliases for migration

See Migration guide for more details.

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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