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텐서플로우:: 작전:: 탄
#include <math_ops.h> x 요소별로 쌍곡선 탄젠트를 계산합니다.
요약
입력 텐서가 주어지면 이 함수는 텐서에 있는 모든 요소의 쌍곡선 탄젠트를 계산합니다. 입력 범위는 [-inf, inf] 이고 출력 범위는 [-1,1] 입니다.
x = tf.constant([-float("inf"), -5, -0.5, 1, 1.2, 2, 3, float("inf")])
tf.math.tanh(x) ==> [-1. -0.99990916 -0.46211717 0.7615942 0.8336547 0.9640276 0.9950547 1.]
인수:
보고:
공개 속성
공공 기능
마디
::tensorflow::Node * node() const
operator::tensorflow::Input() const
연산자::텐서플로우::출력
operator::tensorflow::Output() const
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최종 업데이트: 2025-07-26(UTC)
[null,null,["최종 업데이트: 2025-07-26(UTC)"],[],[],null,["# tensorflow::ops::Tanh Class Reference\n\ntensorflow::ops::Tanh\n=====================\n\n`#include \u003cmath_ops.h\u003e`\n\nComputes hyperbolic tangent of `x` element-wise.\n\nSummary\n-------\n\nGiven an input tensor, this function computes hyperbolic tangent of every element in the tensor. [Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input) range is `[-inf, inf]` and output range is `[-1,1]`.\n\n\n```gdscript\n x = tf.constant([-float(\"inf\"), -5, -0.5, 1, 1.2, 2, 3, float(\"inf\")])\n tf.math.tanh(x) ==\u003e [-1. -0.99990916 -0.46211717 0.7615942 0.8336547 0.9640276 0.9950547 1.]\n \n```\n\n\u003cbr /\u003e\n\nArguments:\n\n- scope: A [Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The y tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [Tanh](#classtensorflow_1_1ops_1_1_tanh_1aea689af8069ad5aa167a5d5c68f08d00)`(const ::`[tensorflow::Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` x)` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_tanh_1a96bcd29aed7f5a46bd53ba63707f18b0) | [Operation](/versions/r2.2/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [y](#classtensorflow_1_1ops_1_1_tanh_1ad67c6b0b45d43a03ca60606659597e47) | `::`[tensorflow::Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|----------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_tanh_1a0ed3af7c2b72f635d4e115e655168847)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_tanh_1a9e29b66924d50ec358f706f51380716a)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_tanh_1ae55795b9e74ab4af50d57c379232e5a6)`() const ` | ` ` ` ` |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### y\n\n```text\n::tensorflow::Output y\n``` \n\nPublic functions\n----------------\n\n### Tanh\n\n```gdscript\n Tanh(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input x\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```"]]
