← KoreaAPI · verifiable K-culture data

Softmax function 소프트맥스 함수

About

The softmax function, also known as softargmax or normalized exponential function, converts a tuple of K real numbers into a probability distribution over K possible outcomes. It is a generalization of the logistic function to multiple dimensions, and is used in multinomial logistic regression. The softmax function is often used as the last activation function of a neural network to normalize the output of a network to a probability distribution over predicted output classes.

Description via Wikipedia (lead extract) · name cross-verified Wikidata + Wikipedia.

Verified facts

Softmax function (소프트맥스 함수) — verified Korean company.

Details

• Also Known As: softargmax
• Also Known As 2: normalized exponential function
• Category: activation function
• Application: multinomial logistic regression
• Type: Function

Q&A — what agents ask

Cross-checked by 2 source(s)

• Wikidata — structured open knowledge base · view ↗
• Wikipedia — encyclopedic article · view ↗

Verification history

Verified & tracked since 2026-08-16 · 5 verified snapshots.

Append-only, timestamped — the record of WHEN a fact changed, which a latecomer cannot backfill. Full feed: /changes.json · machine-readable: get_history("company:softmax").

Verified badge

Embed it — the badge shows this entity’s verification tier + Skill Score and links back here (a “via KoreaAPI” citation):

<a href="https://aiagentlabs.co.kr/artist/softmax.html"><img src="https://aiagentlabs.co.kr/badge/softmax.svg" alt="Verified by KoreaAPI"></a>

[![Verified by KoreaAPI](https://aiagentlabs.co.kr/badge/softmax.svg)](https://aiagentlabs.co.kr/artist/softmax.html)