W3cubDocs

/TensorFlow C++ 2.3

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:

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 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/ops/elu