Yoshimi
Yoshimi is a unisex Japanese given name and can also be used as a surname.
| Pronunciation | (YOH-shee-mee) |
|---|---|
| Gender | Unisex |
| Origin | |
| Word/name | Japanese |
| Meaning | Depends on the kanji used |
| Region of origin | Japan |
| Other names | |
| Related names | Yoshiko |
Possible writings
- 佳美, meaning "excellent, beautiful"
- 良美, meaning "good, beautiful"
- 好美, meaning "like, beautiful"
- 芳美, meaning "fragrant, beautiful"
People with the given name
- Yoshimi (吉見), a guitarist and composer from the pop rock band Funta
- Yoshimi Ashikawa (芦川 よしみ, born 1958), Japanese actress and singer
- Yoshimi Hayashi (1923–2006), American lawyer
- Yoshimi Ishibashi (石橋義三, born 1949), a Japanese professional race car driver
- Yoshimi Iwasaki (岩崎良美), a Japanese actress and singer
- Yoshimi Kobayashi (小林 良美, born 1968), Japanese softball player
- Yoshimi Masaki (正木 嘉美, born 1962), Japanese judoka
- Yoshimi Ozaki (尾崎 好美, born 1981), Japanese long-distance runner
- Yoshimi P-We or Yoshimi Yokota (横田佳美, born 1968), a Japanese musician and drummer of the rock band Boredoms
- Yoshimi Watanabe (渡辺 喜美, born 1952), Japanese politician
People with the surname
- Naho Yoshimi (吉見 菜保, born 1972), Japanese ice hockey player
Fictional characters
- Agent Yoshimi, a character from the television series Duck Dodgers
- Yoshimi Akashi (明石 好美), a character from the manga series Zettai Karen Children and its anime adaptions
- Yoshimi, a minor character in the manga and anime series Di Gi Charat
- Yoshimi Sakanaka (阪中 佳実), a character from the Haruhi Suzumiya series
- Yoshimi Satou (佐藤良美), a character from the video game and anime Tsuyokiss
- Yoshimi Yahagi (矢作好美), a character in the novel, film, and manga Battle Royale
- Yoshimi, title character of The Flaming Lips 2002 album, and song of the same name, Yoshimi Battles the Pink Robots
Places
- Yoshimi, Saitama, a town located in Hiki District, Saitama Prefecture, Japan
Other
- Yoshimi Battles the Pink Robots, a 2002 album by The Flaming Lips
- Yoshimi, a software synthesizer for Linux.
gollark: Anyway, I don't know about hundreds of hours, I *think* just categorizing text is relatively simple, but I don't really know and, again, lots of training data would be needed.
gollark: False positive rate, though.
gollark: You would need many, many samples of "normal" messages, and then many samples of "obviously wrong because they appear to disagree with you" messages, and a bunch of training time.
gollark: I mean, I don't have one personally, I have no practical experience with modern ML stuff, and more importantly training data.
gollark: No.
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