[AI/ML] ๋จธ์‹ ๋Ÿฌ๋‹ : ์ง€๋„ํ•™์Šต, ๋น„์ง€๋„ํ•™์Šต, ๊ฐ•ํ™”ํ•™์Šต ์ดํ•ดํ•˜๊ธฐ

2024. 7. 11. 21:45ยท๐Ÿ“– Fundamentals/AI & ML
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๐ŸŒŸ ๋จธ์‹ ๋Ÿฌ๋‹์˜ ํ•ต์‹ฌ, ์ง€๋„ํ•™์Šต, ๋น„์ง€๋„ํ•™์Šต, ๊ฐ•ํ™”ํ•™์Šต์„ ์ž์„ธํžˆ ์•Œ์•„๋ณด์•„์š”! ๐Ÿค–

 

์ง€๋„ํ•™์Šต

์ง€๋„ํ•™์Šต์€ ์ž…๋ ฅ ๋ฐ์ดํ„ฐ์™€ ๊ทธ์— ๋Œ€์‘ํ•˜๋Š” ์ •๋‹ต ๋ฐ์ดํ„ฐ(๋ผ๋ฒจ)์„ ํ•จ๊ป˜ ์‚ฌ์šฉํ•˜์—ฌ ๋ชจ๋ธ์„ ํ•™์Šต์‹œํ‚ค๋Š” ๋ฐฉ๋ฒ•์ž…๋‹ˆ๋‹ค. ์ด ๋ฐฉ๋ฒ•์€ ๋ฐ์ดํ„ฐ์˜ ๊ฐ ์ƒ˜ํ”Œ์ด ์ž…๋ ฅ๊ณผ ์ •๋‹ต์œผ๋กœ ๊ตฌ์„ฑ๋˜์–ด ์žˆ์–ด์•ผ ํ•ฉ๋‹ˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด, ์ด๋ฉ”์ผ์ด ์ŠคํŒธ์ธ์ง€ ์•„๋‹Œ์ง€๋ฅผ ๊ตฌ๋ถ„ํ•˜๋Š” ๋ถ„๋ฅ˜ ๋ฌธ์ œ๋‚˜ ์ด๋ฏธ์ง€์—์„œ ๊ฐ์ฒด๋ฅผ ์ธ์‹ํ•˜๋Š” ๋ฌธ์ œ ๋“ฑ์—์„œ ์‚ฌ์šฉ๋  ์ˆ˜ ์žˆ์–ด์š”.

์ฃผ์š” ์˜ˆ์‹œ:

  • ๋ถ„๋ฅ˜(Classification): ์˜ˆ์ธกํ•˜๋ ค๋Š” ๊ฐ’์ด ๋ฒ”์ฃผํ˜• ๋ฐ์ดํ„ฐ์ธ ๊ฒฝ์šฐ ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด, ์ด๋ฉ”์ผ์ด ์ŠคํŒธ์ธ์ง€ ์•„๋‹Œ์ง€ ๋ถ„๋ฅ˜ํ•˜๊ฑฐ๋‚˜ ๊ณ ๊ฐ์ด ํŠน์ • ์ œํ’ˆ์„ ๊ตฌ๋งคํ• ์ง€ ์˜ˆ์ธกํ•˜๋Š” ๋ฌธ์ œ ๋“ฑ์ด ์žˆ์–ด์š”.
  • ํšŒ๊ท€(Regression): ์˜ˆ์ธกํ•˜๋ ค๋Š” ๊ฐ’์ด ์—ฐ์†์ ์ธ ์ˆซ์ž์ธ ๊ฒฝ์šฐ ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด, ์ฃผ์‹ ๊ฐ€๊ฒฉ ์˜ˆ์ธก์ด๋‚˜ ์ฃผํƒ ๊ฐ€๊ฒฉ ์˜ˆ์ธก ๋“ฑ์ด ์ด์— ํ•ด๋‹นํ•ด์š”.

์ง€๋„ํ•™์Šต์€ ์ •ํ™•ํ•œ ์˜ˆ์ธก์„ ์œ„ํ•ด ์ž…๋ ฅ ๋ฐ์ดํ„ฐ์™€ ๊ทธ์— ๋Œ€์‘ํ•˜๋Š” ๋ผ๋ฒจ ๋ฐ์ดํ„ฐ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๋ชจ๋ธ์„ ํ•™์Šต์‹œํ‚ค๋Š” ๋ฐ ์ค‘์ ์„ ๋‘ก๋‹ˆ๋‹ค.

 

๋น„์ง€๋„ํ•™์Šต

๋น„์ง€๋„ํ•™์Šต์€ ์ž…๋ ฅ ๋ฐ์ดํ„ฐ์— ๋Œ€ํ•œ ๋ผ๋ฒจ์ด ์ฃผ์–ด์ง€์ง€ ์•Š์€ ์ƒํƒœ์—์„œ ๋ฐ์ดํ„ฐ์˜ ๊ตฌ์กฐ๋‚˜ ํŒจํ„ด์„ ๋ฐœ๊ฒฌํ•˜๋ ค๋Š” ๋ฐฉ๋ฒ•์ž…๋‹ˆ๋‹ค. ์ด ๋ฐฉ๋ฒ•์€ ๋ฐ์ดํ„ฐ์˜ ์ˆจ๊ฒจ์ง„ ๊ตฌ์กฐ๋ฅผ ํƒ์ƒ‰ํ•˜๊ฑฐ๋‚˜ ๋ฐ์ดํ„ฐ๋ฅผ ์ž์—ฐ์Šค๋Ÿฝ๊ฒŒ ๊ทธ๋ฃนํ™”ํ•˜๋ ค๊ณ  ํ•  ๋•Œ ์œ ์šฉํ•ฉ๋‹ˆ๋‹ค.

์ฃผ์š” ์˜ˆ์‹œ:

  • ํด๋Ÿฌ์Šคํ„ฐ๋ง(Clustering): ์œ ์‚ฌํ•œ ๋ฐ์ดํ„ฐ๋“ค์„ ๊ทธ๋ฃน์œผ๋กœ ๋ฌถ๋Š” ๋ฐฉ๋ฒ•์ž…๋‹ˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด, ๊ณ ๊ฐ ์„ธ๊ทธ๋จผํŠธํ™”๋‚˜ ์ด๋ฏธ์ง€ ๋ถ„ํ•  ๋“ฑ์— ์‚ฌ์šฉ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
  • ์ฐจ์› ์ถ•์†Œ(Dimensionality Reduction): ๊ณ ์ฐจ์› ๋ฐ์ดํ„ฐ๋ฅผ ์ €์ฐจ์› ๊ณต๊ฐ„์œผ๋กœ ์ถ•์†Œํ•˜์—ฌ ๋ฐ์ดํ„ฐ๋ฅผ ๊ฐ„์†Œํ™”ํ•˜๊ณ  ์‹œ๊ฐํ™”ํ•˜๋Š” ๋ฐฉ๋ฒ•์ž…๋‹ˆ๋‹ค. ์ฃผ์„ฑ๋ถ„ ๋ถ„์„(PCA)์ด๋‚˜ t-SNE ๋“ฑ์ด ์—ฌ๊ธฐ์— ์†ํ•ด์š”.

๋น„์ง€๋„ํ•™์Šต์€ ๋ฐ์ดํ„ฐ์— ๋Œ€ํ•œ ์‚ฌ์ „ ์ •๋ณด ์—†์ด๋„ ์œ ์šฉํ•œ ํ†ต์ฐฐ์„ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ์–ด, ๋ฐ์ดํ„ฐ ๋ถ„์„์—์„œ ๋งค์šฐ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ•ฉ๋‹ˆ๋‹ค.

 

๊ฐ•ํ™”ํ•™์Šต

๊ฐ•ํ™”ํ•™์Šต์€ ์—์ด์ „ํŠธ๊ฐ€ ํ™˜๊ฒฝ๊ณผ ์ƒํ˜ธ์ž‘์šฉํ•˜๋ฉฐ ์–ด๋–ค ํ–‰๋™์„ ์ทจํ•  ๋•Œ๋งˆ๋‹ค ๋ณด์ƒ์ด ์ฃผ์–ด์ง€๊ณ , ์ด ๋ณด์ƒ์„ ์ตœ๋Œ€ํ™”ํ•˜๋Š” ์ „๋žต์„ ํ•™์Šตํ•˜๋Š” ๋ฐฉ๋ฒ•์ž…๋‹ˆ๋‹ค. ์ด ๋ฐฉ๋ฒ•์€ ์‹œ๊ฐ„์— ๋”ฐ๋ผ ๊ฒฐ์ •์„ ๋‚ด๋ฆฌ๋ฉฐ ํ•™์Šตํ•˜๋Š” ๋ฐฉ๋ฒ•์œผ๋กœ, ์‹ค์ œ๋กœ ์‚ฌ์šฉ์ž์™€ ์ƒํ˜ธ์ž‘์šฉํ•ด์•ผ ํ•˜๋Š” ๋งŽ์€ ๋ฌธ์ œ์—์„œ ์ ์šฉ๋ฉ๋‹ˆ๋‹ค.

์ฃผ์š” ์˜ˆ์‹œ:

  • ๊ฒŒ์ž„ ํ”Œ๋ ˆ์ด(Game Playing): ๊ฐ•ํ™”ํ•™์Šต์€ ์•ŒํŒŒ๊ณ ์™€ ๊ฐ™์ด ์ฒด์Šค๋‚˜ ๋ฐ”๋‘‘์—์„œ ์ตœ๊ณ  ์ˆ˜์ค€์˜ ์„ฑ๊ณผ๋ฅผ ์ด๋ฃฌ ์˜ˆ์‹œ๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค. ๊ฒŒ์ž„ ๊ทœ์น™์„ ํ•™์Šตํ•˜๊ณ  ๊ฒŒ์ž„์—์„œ์˜ ์ „๋žต์„ ๊ฐœ์„ ํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค.
  • ์ž์œจ ์ฃผํ–‰ ์ž๋™์ฐจ(Autonomous Driving): ๊ฐ•ํ™”ํ•™์Šต์€ ์ž์œจ ์ฃผํ–‰ ์ฐจ๋Ÿ‰์ด ๋„๋กœ์—์„œ ์•ˆ์ „ํ•˜๊ฒŒ ์šด์ „ํ•˜๊ณ  ๊ตํ†ต ๊ทœ์น™์„ ์ค€์ˆ˜ํ•˜๋Š” ๋ฐ ๋„์›€์„ ์ค๋‹ˆ๋‹ค.

๊ฐ•ํ™”ํ•™์Šต์€ ํ™˜๊ฒฝ๊ณผ ์ƒํ˜ธ์ž‘์šฉํ•˜๋ฉฐ ์ตœ์ ์˜ ํ–‰๋™์„ ํ•™์Šตํ•˜๋Š” ๊ณผ์ •์„ ํฌํ•จํ•˜๊ธฐ ๋•Œ๋ฌธ์— ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ฐ ์‹ค์ œ ํ™˜๊ฒฝ์—์„œ ๋‹ค์–‘ํ•œ ์‘์šฉ์ด ๊ฐ€๋Šฅํ•ฉ๋‹ˆ๋‹ค.

 

์ด๋ ‡๊ฒŒ ๋‹ค์–‘ํ•œ ๋จธ์‹ ๋Ÿฌ๋‹ ํ•™์Šต ๋ฐฉ๋ฒ•๋“ค์€ ๊ฐ๊ฐ์˜ ๋ฐ์ดํ„ฐ ํŠน์„ฑ๊ณผ ๋ฌธ์ œ์— ๋งž๊ฒŒ ์„ ํƒ๋˜์–ด์•ผ ํ•ฉ๋‹ˆ๋‹ค. ๊ฐ ํ•™์Šต ๋ฐฉ๋ฒ•์˜ ์žฅ๋‹จ์ ์„ ์ž˜ ์ดํ•ดํ•˜๊ณ  ์‹ค์ œ ๋ฌธ์ œ์— ์ ์šฉํ•ด๋ณด๋ฉด์„œ ๋จธ์‹ ๋Ÿฌ๋‹์˜ ๋‹ค์–‘ํ•œ ๊ฐ€๋Šฅ์„ฑ์„ ํƒ์ƒ‰ํ•ด๋ณด์„ธ์š”! ๐Ÿš€๐Ÿ’ก

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'๐Ÿ“– Fundamentals/AI & ML' ์นดํ…Œ๊ณ ๋ฆฌ์˜ ๋‹ค๋ฅธ ๊ธ€
  • [AI/ML] ๊ฒฝ์‚ฌ ํ•˜๊ฐ•๋ฒ• (Gradient Descent Algorithms): ๋”ฅ๋Ÿฌ๋‹ ๋ชจ๋ธ ์ตœ์ ํ™”๋ฅผ ์œ„ํ•œ ์•Œ๊ณ ๋ฆฌ์ฆ˜
  • [AI/ML] ๋”ฅ๋Ÿฌ๋‹ ํ•ต์‹ฌ ๊ฐœ๋…: Back Propagation (์˜ค์ฐจ ์—ญ์ „ํŒŒ)์˜ ์ดํ•ด์™€ ์‘์šฉ
  • [AI/ML] ๋จธ์‹ ๋Ÿฌ๋‹์˜ ์ •์˜์™€ ๊ธฐ๋ณธ ๊ฐœ๋…
  • [AI/ML] ๋”ฅ๋Ÿฌ๋‹์—์„œ์˜ ํ™•๋ฅ  ๋ถ„ํฌ : ๋ฐ์ดํ„ฐ ๋ชจ๋ธ๋ง๊ณผ ์„ฑ๋Šฅ ๊ฐœ์„ ์„ ์œ„ํ•œ ํ•ต์‹ฌ ๊ฐœ๋…
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[AI/ML] ๋จธ์‹ ๋Ÿฌ๋‹ : ์ง€๋„ํ•™์Šต, ๋น„์ง€๋„ํ•™์Šต, ๊ฐ•ํ™”ํ•™์Šต ์ดํ•ดํ•˜๊ธฐ
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