tf.raw_ops.Elu
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. |
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/Elu