tf.nn.elu

Computes exponential linear: exp(features) - 1 if < 0, features otherwise.

tf.nn.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.