tensorflow::ops::Elu
#include <nn_ops.h>
Computes exponential linear: exp(features) - 1 if < 0, features otherwise.
Summary
See Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Arguments:
- scope: A Scope object
Returns:
-
Output: The activations tensor.
| Constructors and Destructors | |
|---|---|
Elu(const ::tensorflow::Scope & scope, ::tensorflow::Input features) |
| Public attributes | |
|---|---|
activations | |
operation | |
| Public functions | |
|---|---|
node() const | ::tensorflow::Node * |
operator::tensorflow::Input() const | |
operator::tensorflow::Output() const | |
Public attributes
activations
::tensorflow::Output activations
operation
Operation operation
Public functions
Elu
Elu( const ::tensorflow::Scope & scope, ::tensorflow::Input features )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/cc/class/tensorflow/ops/elu