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tensoreflusso:: ops:: Elù
#include <nn_ops.h>
Calcola lineare esponenziale: exp(features) - 1
se < 0, features
altrimenti.
Riepilogo
Scopri Apprendimento di rete profondo rapido e accurato in base alle unità lineari esponenziali (ELU)
Argomenti:
Resi:
-
Output
: Il tensore delle attivazioni.
Attributi pubblici
Funzioni pubbliche
nodo
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operatore::tensorflow::Output
operator::tensorflow::Output() const
Salvo quando diversamente specificato, i contenuti di questa pagina sono concessi in base alla licenza Creative Commons Attribution 4.0, mentre gli esempi di codice sono concessi in base alla licenza Apache 2.0. Per ulteriori dettagli, consulta le norme del sito di Google Developers. Java è un marchio registrato di Oracle e/o delle sue consociate.
Ultimo aggiornamento 2025-07-26 UTC.
[null,null,["Ultimo aggiornamento 2025-07-26 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```"]]