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Sung Kim @UCML9R2ol-l0Ab9OXoNnr7Lw@youtube.com

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컴퓨터 μ†Œν”„νŠΈμ›¨μ–΄μ™€ λ”₯λŸ¬λ‹, μ˜μ–΄λ“± λ‹€μ–‘ν•œ μž¬λ―ΈμžˆλŠ” 이야기듀을 λ‚˜λˆ„λŠ” κ³³μž…λ‹ˆλ‹€.

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00:10
Solar Summarizer
04:05
랭체인 Upstage Package μ†Œκ°œ λ“œλ¦½λ‹ˆλ‹€.
02:10
Upstage Solar λ²ˆμ—­κΈ°: μ—¬λŸ¬λΆ„λ“€μ˜ λ²ˆμ—­ν†€μ„ μ΄ν•΄ν•˜κ³  λ²ˆμ—­ν•΄μ€λ‹ˆλ‹€.
07:51
[KR] Solar Amazon Sagemaker Jumpstart
07:54
[EN] Solar Aamazon Sagemaker Jumpstart
02:25
[μœ λ£Œκ°•μ’Œ] λ£¨μ‹œκ°•μ˜ μ†Œκ°œ: λͺ¨λ‘λ₯Ό μœ„ν•œ ChatGPT UP!
04:55
[μœ λ£Œκ°•μ’Œ] λͺ¨λ‘λ₯Ό μœ„ν•œ ChatGPT UP! AutoGPT ν‹°μ € 2
11:22
[μœ λ£Œκ°•μ’Œ] λͺ¨λ‘λ₯Ό μœ„ν•œ ChatGPT UP! ν‹°μ € 1
17:15
κ±°λΆμ΄μ™€λ‹¬λ¦¬λŠ”νŒŒμ΄μ¬9: python LIST!
12:28
κ±°λΆμ΄μ™€λ‹¬λ¦¬λŠ”νŒŒμ΄μ¬10: for+list 와 break&continue
22:53
κ±°λΆμ΄μ™€λ‹¬λ¦¬λŠ”νŒŒμ΄μ¬6: Nested if/Loop (if μ•ˆμ— if, loop μ•ˆμ— loop)
13:31
κ±°λΆμ΄μ™€λ‹¬λ¦¬λŠ”νŒŒμ΄μ¬8: Nest for Loop (for μ•ˆμ— for)
18:11
κ±°λΆμ΄μ™€λ‹¬λ¦¬λŠ”νŒŒμ΄μ¬7: For Loop (κ°€μž₯많이 μ‚¬μš©λ˜λŠ” for loop)
19:28
κ±°λΆμ΄μ™€λ‹¬λ¦¬λŠ”νŒŒμ΄μ¬5: Loop (반볡)
14:49
κ±°λΆμ΄μ™€λ‹¬λ¦¬λŠ”νŒŒμ΄μ¬4: if condition (쑰건문)
18:20
κ±°λΆμ΄μ™€λ‹¬λ¦¬λŠ”νŒŒμ΄μ¬ 3: turtle graphics
15:08
κ±°λΆμ΄μ™€λ‹¬λ¦¬λŠ”νŒŒμ΄μ¬2: μž…μΆœλ ₯κ³Ό λ³€μˆ˜
05:47
κ±°λΆμ΄μ™€λ‹¬λ¦¬λŠ” 파이썬1: μ†Œκ°œ
06:28
Pororo μΆœμ‹œκΈ°λ… 이메일 μš”μ•½κΈ°
12:08
μš°λ¦¬κ°€ μ°Ύκ³  μžˆλŠ” μ‚¬λžŒ (SE개발자, AI개발자)
02:52
NeurIPS 2020 Social ML in Korea Upstage AI Intro
01:27
2020 Upstage AIν•¨κ»˜ν•΄μš”!
19:07
SEF 2020 Keynote: AI 거인의 μ–΄κΉ¨μ—μ„œ 세상을 λ°”λΌλ³΄μž (넀이버 κΉ€μ„±ν›ˆ)
10:51
Sagemaker Github Actions
03:59
넀이버 AI RUSH 2020ν•¨κ»˜ ν•΄μš”! (6μ›” 8일 마감)
12:57
QA Search Engine: Amazon Kendra, Canada project, Talk to Books, etc.
03:30
λ°©κ΅¬μ„ν΄λ‘œλ°” (AI CALL) 예고편
07:18
CES2020: μ°¨μ•ˆ μ‹€λ‚΄ λ””μŠ€ν”Œλ ˆμ΄ + AIμ‹œλ‚˜λ¦¬μ˜€
09:50
CES 2020: μ–Όκ΅΄ AI 와 슀마트 미러 κ΄€λ ¨ μ œν’ˆλ“€ μ†Œκ°œ ν•©λ‹ˆλ‹€.
08:46
CES 2020: Israel AI Companies
10:03
CES 2020: λ™μž‘μΈμ‹ AIμ œν’ˆλ“€ μ†Œκ°œ
04:37
CES 2020: LG, μ‚Όμ„±λ“± WOW λ””μŠ€ν”Œλ ˆμ΄
15:22
CES 2020: Eureka tour 1
01:56
0. μ§„λ‘œ (Career Path) 이야기 예고편
10:12
AWS Builders Fair @re:Invent 2019
13:43
ICCV 2019 λΆ€μŠ€ tour with ν•˜μ •μš° Clova AI Research Head
06:14
μŒμ„±μΈμ‹μ— λŒ€ν•œ κ°„λž΅ μ†Œκ°œλ° μŒμ„±μΈμ‹ 해컀톀 2019μ΄ˆλŒ€
01:36
#λͺ¨λ‘κ°€λ§Œλ“œλŠ”λͺ¨λ‘λ₯Όμœ„ν•œλ”₯λŸ¬λ‹ 멀버λͺ¨μ§‘!
11:03
2 nsml을 μ΄μš©ν•œ hackton λ¬Έμ œν’€μ΄
06:17
1. 넀이버 AI 해컀톀 μ†Œκ°œ 및 문제 μ•ˆλ‚΄
17:23
PyTorch Lecture 13: RNN 2 - Classification
28:47
PyTorch Lecture 12: RNN1 - Basics
20:30
Lecture 99: NSML: A Machine Learning Platform That Enables You to Focus on Your Models
12:58
PyTorch Lecture 11: Advanced CNN
15:52
PyTorch Lecture 10: Basic CNN
18:47
PyTorch Lecture 09: Softmax Classifier
06:41
PyTorch Lecture 08: PyTorch DataLoader
10:38
PyTorch Lecture 07: Wide and Deep
10:41
PyTorch Lecture 06: Logistic Regression
11:50
PyTorch Lecture 05: Linear Regression in the PyTorch way
15:26
PyTorch Lecture 04: Back-propagation and Autograd
12:52
PyTorch Lecture 02: Linear Model
08:24
PyTorch Lecture 03: Gradient Descent
10:19
PyTorch Lecture 01: Overview
07:24
NSML μ†Œκ°œ: Naver Smartest Machine Learning platform
21:19
MLJejuCamp2017 - Tommy Mulc : Speech Synthesis with GANs
36:03
MLJejuCamp2017 - Mark Kwon : Monaural Source Separation
27:11
MLJejuCamp2017 - Egil Martinsson : Weibull Time To Event RNN
32:13
MLJejuCamp2017 - Rishabh Gupta : MAD-GANs
21:03
MLJejuCamp2017 - Lanfa Liu : Building Damage Mapping Using VHR Satellite Images
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