Harutyun Abrahamyan
Harutyun Abrahamyan (born 4 December 1969 in Yerevan, Armenian SSR) is a retired football goalkeeper from Armenia. He obtained a total number of three caps for the national team. Abrahamyan made his debut on 14 October 1992 in a friendly against Moldova (0–0). Apart from playing in his native country he spent one year in Iran with Keshavarz F.C. (1996–97).
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| Personal information | |||
|---|---|---|---|
| Full name | Harutyun Abrahamyan | ||
| Date of birth | 4 December 1969 | ||
| Place of birth | Yerevan, Soviet Union | ||
| Height | 1.82 m (5 ft 11 1⁄2 in) | ||
| Playing position(s) | Goalkeeper | ||
| Senior career* | |||
| Years | Team | Apps | (Gls) |
| 1994–1996 | FC Ararat Yerevan | ||
| 1996–1997 | Keshavarz | ||
| 1998–1999 | FC Yerevan | ||
| 2000–2001 | FC MIKA | ||
| 2002–2003 | FC Araks Ararat | ||
| 2004–2005 | FC Kotayk Abovian | ||
| National team | |||
| 1992–2001 | Armenia | 26 | (0) |
| Teams managed | |||
| 2009–2011 | Rah Ahan (Goalkeeping Coach) | ||
| 2011 | Persepolis (Goalkeeping Coach) | ||
| 2012–2013 | Mes Kerman (Goalkeeping Coach) | ||
| 2013–2014 | Zob Ahan (Goalkeeping Coach) | ||
| * Senior club appearances and goals counted for the domestic league only | |||
National team statistics
| Armenia national team | ||
|---|---|---|
| Year | Apps | Goals |
| 1992 | 1 | 0 |
| 1993 | 0 | 0 |
| 1994 | 2 | 0 |
| 1995 | 5 | 0 |
| 1996 | 5 | 0 |
| 1997 | 1 | 0 |
| 1998 | 1 | 0 |
| 1999 | 1 | 0 |
| 2000 | 5 | 0 |
| 2001 | 5 | 0 |
| Total | 26 | 0 |
gollark: No, lambda calculus is just working on abstract lambda thingies, it's a simple model for computation which is also kind of useless.
gollark: Meanwhile, GPT-3, OpenAI's latest GPT text generation thing, has *175 billion* parameters and uses, what, tens of gigabytes of memory?
gollark: No, lambda calculus is a relatively simple model you can understand fairly easily.
gollark: And with neural networks, you don't actually know *how* the network does its job, just that you feed in pixels and somehow get classification data out.
gollark: There is still not, as far as I know, an approach to detect what an object is other than just training neural networks on the task.
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