Stay organized with collections
Save and categorize content based on your preferences.
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.
Public attributes
Public functions
node
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2020-04-20 UTC.
[null,null,["Last updated 2020-04-20 UTC."],[],[],null,["# tensorflow::ops::Elu Class Reference\n\ntensorflow::ops::Elu\n====================\n\n`#include \u003cnn_ops.h\u003e`\n\nComputes exponential linear: `exp(features) - 1` if \\\u003c 0, `features` otherwise.\n\nSummary\n-------\n\nSee [Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)](http://arxiv.org/abs/1511.07289)\n\nArguments:\n\n- scope: A [Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The activations tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [Elu](#classtensorflow_1_1ops_1_1_elu_1adf847a32436cd3658b1dad52ad5caf25)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` features)` ||\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [activations](#classtensorflow_1_1ops_1_1_elu_1ad612f9089f722691463235a242609c24) | `::`[tensorflow::Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [operation](#classtensorflow_1_1ops_1_1_elu_1acd0919fdde115c26cebce79cf16da724) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n\n| ### Public functions ||\n|---------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_elu_1a9ba564f87829d2fa52e0b90a8172d4c8)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_elu_1a389f92cb5ed5daa9f6143834155b5ab4)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_elu_1ac37d3e682783d5bd1c01c96f6207d540)`() const ` | ` ` ` ` |\n\nPublic attributes\n-----------------\n\n### activations\n\n```text\n::tensorflow::Output activations\n``` \n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### Elu\n\n```gdscript\n Elu(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input features\n)\n``` \n\n### node\n\n```gdscript\n::tensorflow::Node * node() const \n``` \n\n### operator::tensorflow::Input\n\n```gdscript\n operator::tensorflow::Input() const \n``` \n\n### operator::tensorflow::Output\n\n```gdscript\n operator::tensorflow::Output() const \n```"]]