Computes the exponential linear function.
tf.raw_ops.Elu(
features, name=None
)
The ELU function is defined as:
- \( e ^ x - 1 \) if \( x < 0 \)
- \( x \) if \( x >= 0 \)
Examples:
tf.nn.elu(1.0)
<tf.Tensor: shape=(), dtype=float32, numpy=1.0>
tf.nn.elu(0.0)
<tf.Tensor: shape=(), dtype=float32, numpy=0.0>
tf.nn.elu(-1000.0)
<tf.Tensor: shape=(), dtype=float32, numpy=-1.0>
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 .
|