Computes exponential linear: exp(features) - 1
if < 0, features
otherwise.
tf.raw_ops.Elu(
features, name=None
)
See Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Args | |
---|---|
features
|
A Tensor . Must be one of the following types: half , bfloat16 , float32 , float64 .
|
name
|
A name for the operation (optional). |
Returns | |
---|---|
A Tensor . Has the same type as features .
|