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소프트맥스 함수 Softmax function

설명

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. — 영문 출처: Wikipedia

검증된 사실

소프트맥스 함수 — 검증된 한국 기업. 설립 1994-10-28. 산업: video game industry.

상세

• Headquarters: South Korea

교차검증 출처 2곳

• Wikidata · 보기 ↗
• Wikipedia · 보기 ↗

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