Juhan
Juhan (Estonian pronunciation: [ˈjuhɑn]) is a common Estonian male given name.
| Gender | Male |
|---|---|
| Language(s) | Estonian |
| Name day | June 24 (Estonia) |
| Origin | |
| Region of origin | Estonia |
| Other names | |
| Related names | Johannes Johan Johann Juhani |
Given name
- Juhan Aare (born 1948), Estonian journalist and politician
- Juhan Aavik (1884–1982), Estonian composer
- Juhan Mihkel Ainson (1873–1962), Estonian politician
- Juhan af Grann (born 1948 as Heikki Juhani Grann), Finnish film director and producer
- Juhan Jaanuson (1894–1967), Estonian statistician and politician
- Juhan Kalm (1884–1953), Estonian agronomist and politician
- Juhan Kikas (1892–1944, also known as Jaan Kikkas), Estonian weightlifter
- Juhan Kukk (1885–1942), Estonian politician
- Juhan Kurvits (1895–1939), Estonian politician
- Juhan Lasn (1861–1930), Estonian politician
- Juhan Leeman (1872-19??), Estonian politician and educator
- Juhan Leinberg (1812–1885), Estonian religious leader, also known as prophet Maltsvet
- Juhan Liiv (1864–1913), Estonian poet
- Juhan Maaker (1845–1930), Estonian folk musician
- Juhan Muks (1899–1983), Estonian artist and painter
- Juhan Parts (born 1966), Estonian politician
- Juhan Peegel (1919–2007), Estonian journalist, linguist and writer
- Juhan Simm (1885–1959), Estonian composer, conductor and choral conductor
- Juhan Smuul (1922–1971), Estonian writer, until 1954 he used the given name Johannes Schmuul
- Juhan Treisalt (1898–1980, better known as Ivan Triesault), Estonian-born American actor
- Juhan Viiding (1948–1995), Estonian poet and actor, also known under the pseudonym of Jüri Üdi
Surname
- Alexander Juhan (1765–1845), American violinist, composer and conductor
- Frank Juhan, (1887–1967), American football player
gollark: Also that.
gollark: The image is just 3 matrices of R/G/B values.
gollark: There are 129057189471894718247141491807401825701892912 random details and things but that's the gist of it.
gollark: Then, you just move it a little bit toward lower loss (gradient descent).
gollark: You have a big thing of settable parameters determining how you go from input to output. And if you know what the result *should* be (on training data), then as the maths is all "differentiable", you can differentiate it and get the gradient of loss wrt. all the parameters.
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