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 |
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operation |
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| Public functions | |
|---|---|
node() const |
::tensorflow::Node *
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operator::tensorflow::Input() const |
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operator::tensorflow::Output() const |
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Public attributes
activations
::tensorflow::Output activationsoperation
Operation operationPublic 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