Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
개발자의 인공지능 뽀개기
Search
Teddy
August 07, 2018
Programming
170
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
개발자의 인공지능 뽀개기
Teddy
August 07, 2018
More Decks by Teddy
See All by Teddy
스타트업 개발자의 이야기 (국민대)
teddykims
1
110
Git 기초
teddykims
0
99
클라이언트 권한 부여, 인증 시스템, OAuth-JWT
teddykims
0
120
2018.06, 싸이그래머 '심리상담과 IT'
teddykims
0
120
WebSocket, Socket.io
teddykims
1
67
2018.05, 소물, '소프트웨어와 미래 기술'
teddykims
0
86
소프트웨어와 미래 기술 (Software, Future Tech)
teddykims
0
200
리눅스 메모리 보호기법, 보안시스템의 이해
teddykims
0
250
무선 네트워크 해킹과 보안 (Network Hacking)
teddykims
0
240
Other Decks in Programming
See All in Programming
FactoryBotをやめればRSpecは速くなるのか?
yuta_onishi_97
0
610
Atomic Design, Enforced: Scaling Mobile Design Systems (next.app devCon / droidCon Berlin 2026)
steliosf
PRO
0
170
IBM Bob でAI駆動開発『QC-Playbook』
ichirokano2
0
110
Herb in Rails 8.2: Your ERB views, now HTML-aware @ Kaigi on Rails 2026, Tokyo, Japan
marcoroth
2
230
When benchmarks go bad - what I learned from measuring performance wrong
hollycummins
0
220
残高管理から台帳サービスへの進化
artoy
1
200
R8 の設定見直しでアプリサイズ削減
andpad
0
220
Kotlinの15年とServer-Side Kotlin
n_takehata
1
150
Web Framework Benchmark Battle 2026, Any%
a_matsuda
2
2.3k
動作中のプログラムの中身をリアルタイムに覗く / Realtime Debugger for CSharp with Roslyn
prota
1
1.9k
自サークルのIdPからログアウトできるようになるまで
taiseiue
1
140
AWS CDKのカスタムリソースでContinuum(旧Security Agent)を実装した話 | Implementing Continuum (formerly Security Agent) via AWS CDK Custom Resource
akihisaikeda
2
150
Featured
See All Featured
Introduction to Domain-Driven Design and Collaborative software design
baasie
1
1k
Highjacked: Video Game Concept Design
rkendrick25
PRO
1
480
Building an army of robots
kneath
307
47k
Cheating the UX When There Is Nothing More to Optimize - PixelPioneers
stephaniewalter
287
14k
Color Theory Basics | Prateek | Gurzu
gurzu
1
490
Paper Plane
katiecoart
PRO
5
54k
Exploring anti-patterns in Rails
aemeredith
4
540
Digital Projects Gone Horribly Wrong (And the UX Pros Who Still Save the Day) - Dean Schuster
uxyall
1
3.4k
Exploring the relationship between traditional SERPs and Gen AI search
raygrieselhuber
PRO
4
4.4k
Reflections from 52 weeks, 52 projects
jeffersonlam
356
22k
Learning to Love Humans: Emotional Interface Design
aarron
275
41k
Six Lessons from altMBA
skipperchong
29
4.5k
Transcript
ѐߊܳ ਤೠ ੋҕמ ѐӝ
ա݅ ࢚ࢎܳ ݅աח о ए ߑߨ बܻ࢚ ݫन ۽झ [TROST]
()ോ݃ஹಌפ ()ോ݃ஹಌפ ӣక
ې
None
None
None
None
None
None
߸ച द
None
None
None
None
None
None
None
None
None
ੋҕמ ੋрਸ ӡ ࣻ Ҋ ૐݺػ ߣ૩ ࢎѤ
AI (Artificial Intelligence, ੋҕמ)
ӝ҅۽ࠗఠ ٜ݅য מ ੋр ࢎҊ۱ਸ צ ੋрۢ ࢤпೞח ஹೊఠ
ੑ۱߉ чਵ۽ ࠗఠ Ѿҗ чਸ ղח ೣࣻܳ ٜ݅য ղח Ѫ ъੋҕמ <-> ডੋҕמ (അ ੋҕמ)
ੋҕמ ޤ? ੋҕੋ Ѫ ޤ? מ ޤ? ӝ҅ب ࢤпೡ ࣻ
ਸө? ܻח যڌѱ ࢤпೞחѦө?
“ੋҕמ ߊݺۆ زରীࢲ ߄௰ܳ ڍযմ ٍ Ӓ ܻী ߊਸ ׳ӝ
ਤ೧ Ҋबೞח Ѫ.” “ੋҕמ ই पഅغ ঋ ޖо”
ੋҕמ ࠄې ݾ ‘बܻ’ী ೠ पੋ Ӕ য מ ޖੋ
ߋഃղח Ѫ ୭ୡ ݾ ؘఠ৬ धٜ ݽৈ ܲ ࠙ঠীࢲ ࢎ Ѿҗ ஏ ١ ঘ࣌ਸ ਤ೧ ѐߊغӝ दೞݴ ੋҕמ җ ߊ द
194x ~ 195x – ੋҕמ ࢤ “গפঈ ࢤ” > “ౚ݂
పझ” > “IBM ୭ୡ AI ஶಌ۠झ” > “AI ࢤ” 195x ~ 196x – ൞ݎ ੋҕמ “ੋр ࢤпೞח ӝ҅” > “ੋҕמ ѐߊ য ’LISP’ ࢤ” > “ৈ۞ ੋҕמ ۿ ١” 196x ~ 197x – ੋҕמ ঐӝ “Ҵ/Ҵ ࠗ ਗ ױ” > “ੋҕ न҃ݎ ೠ҅ ૐݺ” 197x ~ 199x – ޙо दझమ “ࢿ ആঘ ജ ױ ӏ ӝ߈ ޙо दझమ” > “স҅ ۞࠳” > “ੌࠄҗ Ҵ ষդ ਗ” 199x ~ 200x – ੋҕמ അ৬ ې “ۡ ֎ਕ, ਬ ঌҊ્ܻ ١” > “ؘఠ әૐ” > “ੋҕמ ӝٜ҅ ࢤ”
IBM ٩ ࠶ܖ IBM '٩ ࠶ܖ’ ۽ ੋр झିೖ оܻ
झ۽৬ ѹܞࢲ थܻ IBM Watson োয ܻܳ ਤ೧ࢲ ٜ݅য ஹೊఠ. ઁಌ٣ ௰ૉࣳীࢲ ିೖٜਸ ׂ۞ߡ۷. ۨ٘ಫ ۨ٘ಫ Ҵ ܻನפই݀(UCLA) ઁܻ ࠳ےষ Үࣻ৬ োҳ ѐߊೠ ۽Ӓ۔ਵ۽ ߧદ ࠁܳ ࠙ࢳ೧ 10~12दр ٍ ߧદо ੌযզ दрҗ ࣗܳ بೞח ۽Ӓ۔. ۽झঙۨझ ҃ (LAPD)җ दগౣ ҃ ١ ੌࠗ Ҵ ҃җ Ҵ ٜ҃ ۨ٘ಫਸ بੑೠ റ ߧદਯ 20% о Ҋ ೠ. ۄ झப ֎ӝݮ۠(CMU)ীࢲ ѐߊ೮Ҋ, Ҵ ೖஎߡӒ ҃ 2016֙ 10ਘࠗఠ ਊೞҊ ח ۽Ӓ۔ਵ۽, খਵ۽ ߊࢤೡ ߧદ दрҗ ࣗܳ ஏ೧ ೧ ࠁܳ ٜ҃ ֢࠘, झ݃ಪী ղࠗ ాनݎਸ ా೧ ׳ೠ.
Apple Siri Apple iPhone ী ػ োয ܻ AI.
೧ઉ ݅, ࢿੋध ࠗ࠙ पदрਵ۽ ߊ׳ೞח Ѫਵ۽ ୶ػ. ҳӖ ঌҊ ਬۣ ߄ق ିೖҗ Ѿೞৈ थܻ೮ਵݴ, 2016֙ 3ਘ ࣁج 9ױҗ Ҵীࢲ 4थ 1ಁ۽ थܻܳ Ѣف. ࢿ ࠻झ࠺ ࢿо ҕѐೠ Ҋࢿמ ੋҕמ ࠺ࢲ গܻா࣌ ࢎਸ ନয ޛܳ زਵ۽ ੋधೡ ࣻ ח ࠁػ ӝמਸ оҊ . बब AIܳ ߑೞҊ ݅ ࢎप ӝઓী ١۾غয ח ޙٜী ೧ ١۾غয ח ߸ਸ ೞח рױೠ ࣻળ ߑधۄ ੋҕמۄ ೞӟ ިೞ. ޙٜਸ ࠙ࢳೞח Ѫب ױযܳ оҊ ࠙ࢳೞח ࣻળ рױೠ ߑध.
ੋҕמ ܻо ਗೞח ژח ޖ ౠ ೯زਸ, ӝ҅о झझ۽ ஏ,
౸ױೞৈ ח Ѫ
णػ ղਊਸ ӝ߈ਵ۽ ېܳ ஏೠ. ਤ ஏ җਸ ਤ೧ ӝ҅ܳ
णदఃח ੌ۲ স ਃ ӝ҅ ण ষդ ন ؘఠܳ झझ۽ णೞҊ ܻೞৈ ޙઁী ೠ ೧ਸ ইղח ӝࣿ.
ӝ҅ח যڌѱ णਸ?
None
None
աޖ: ӝա оо ݾ۽ ػ ֙ࢤ धޛ ୶ ೠ҅
୶࢚Ѣա ҳੋ पо ח ࢚ ই ӝୡੋ ѐ֛ਸ ݠ݁ࣘী ܻѱ ೞӝ ਤ೧ࢲ, ࢚ਸ աఋղח ࣻ ݆ ࢠਸ ߉ইٜݶࢲ ݠ݁ࣘীࢲ ୷ػ ഋక۽ ݀೧ աоب۾ ֱী ݐӝח Ѫ աޖ ࣻ ݆ ࢠٜਸ ࠁݴ ೨ब ౠٜ ୷ػ Ѿҗޛ۽ ֱ ࣘীࢲ ই ୶࢚ੋ ഋక۽ ٜ݅য
ਬইӝ द ‘աޖ’ ۄח ࢚ ѐ֛ਸ ഊ؍ җҗ ݒ ൚ࢎ
ࣻ ݆ ࢠ ؕযܻܳ णೠ. => ࣻ ݆ ؘఠܳ णೠ.
दп, ୢп, റпੋ хп ࠁ/ౠٜਸ ֱী ೠ. => ӝ҅о ೧ೡ ࣻ ח ഋక۽ ࣻച (ܻ) ೞৈ ೠ.
None
ੋҕמ ? AI ? ӝ҅ण ? ݠन۞ ? ٩۞ ?
न҃ݎ ? ML ?
ੋҕמ ӝ҅ ण ٩۞ ੋҕמ(AI) > ݠन ۞(Machine Learning) >
٩۞ (Deep Learning)
- ୡӝ ٩۞ ‘ੋҕ न҃ݎ’ ۄח ઁ۽ 1942֙ ࡸܻо
दغ. - ੋр ֱ न҃ݎਸ ࠄٮ ݅ٚ ੋҕ न҃ݎ ݽ؛۽ ӝઓ ݠन۞ ೠ҅ (ؘఠী ನೣػ নೠ ߸ࣻܳ ঈ ೞ ޅೣ) ܳ ࠁ৮ೠ ߑߨਵ۽ ځয়ܰӝ द೮. - ੋр ֱ(۠) ҳઑܳ ਬࢎೞѱ ٜ݅যࠁח Ѽ݅ द ജ҃җ ؘఠ৬ ೞ٘ਝয ೠ҅۽ જ ಣਸ ޅ ೞणפ. ੋҕמ ӝ҅ ण ٩۞
ੋҕמ ӝ҅ ण ٩۞ - 2012֙, ҳӖҗ झగಌ٘ Andrew NG
Үࣻח 1݅ 6,000ѐ ஹೊఠ۽ ড 10র ѐ ࢚ न҃ݎਵ۽ ܞ ‘बகन҃ݎ(Deep Neural Network)’ਸ ҳഅ೮. ܳ ా೧ ਬౚ࠳ীࢲ 1,000݅ ѐܳ ࡳই ࠙ࢳೠ ٍ, ஹೊఠо ࢎۈҗ Ҋন ࢎਸ ࠙ܨೞب۾ ೞחؘ ࢿҕ೮ . ஹೊఠо ࢚ী աৡ Ҋন ഋక৬ ࢤӣ࢜ܳ ੋध ೞҊ ౸ױೞח җਸ झझ۽ णೞѱ ೠ Ѫ.
ੋҕמ ӝ҅ ण ٩۞ - ؘఠо ߑ೧Ҋ GPU ١ਵ۽
ࢿמҗ ജ҃ ࠁ৮غݴ 2010-12֙, बக ब҃ݎ, ٩۞ ࢤ ೮ण פ. - ঔܻ(CPU), ݫੋ (۳) - Ӓېܻ(GPU), ࠁઑ (߽۳) - CPU ח ࣽࢲ۽ ؘఠܳ ܻೞח ߑधী ౠചػ ҳ ઑܳ оҊ . GPU ח ࠺Ү рױೠ, ؏ ࠗझ۞ ੌਸ ബਯਵ۽ ܻೡ ࣻ . ܻ೧ঠ ೡ ݺ۸ য৬ ؘఠ ࢿѺী ٮۄ ٸ۽ח CPU, ٸ۽ח GPUо ࡅܳ ࣻо .
ੋҕמ Ҿӓੋ ݾҊ, ٩۞ਸ Ӓী ܰӝ ਤೠ ࣻ ݆ ࣻױ
ೞաੌ ࡺ!
Q. ٩۞ о ऽாੋоਃ? ޖઑѤ ੋо ਃ? Q. ח ޖट
ঌҊ્ܻਸ ࢎਊೞҊ रযਃ. যٸ ਃ? Q. ঌҊח ৮ ࢜۽ AI ੋѤоਃ?
Q. ઁ ࣼઁ न ೧ ࣻ աਃ? Q. ઁ թ,
ৈҳо غয ࣻ աਃ? Q. ঌҊ ऱ ੜ ೞաਃ?
ҕࠗ ೞҊ रযਃ! http://hunkim.github.io/ml/
ӝࣿ ਲ਼җ ې
None
None
None
None
None
None
None
None
None
None
None
None
ഒࢲ ೡ ࣻ ח Ѫ 0
ېח ѾҴ ౠ ӝࣿ, সҗ ݽٚ Ѫ ਲ਼ীࢲ द
4ର, Nର স ഄݺ ࠺ૉפझ ҕә ߑध ߸ച স ܻ࠙
(ؘఠ җ VS ੌ߈ੋ) ੌ࢚ ࢤഝ ۖಬച
झ౭࠵ ഐఊ “৮߷ೠ ੋҕמ ӝࣿ ѐߊ, ੋܨ ݷݎਸ ࠛ۞ৢࣻب..” ࠽
ѱ “ੋр ੌܻܳ ࡐਸ ۽ࠈীѱ ࣗٙࣁܳ ѥח ଼ਸ..”
None