Download free for 30 days
Sign in
Upload
Language (EN)
Support
Business
Mobile
Social Media
Marketing
Technology
Art & Photos
Career
Design
Education
Presentations & Public Speaking
Government & Nonprofit
Healthcare
Internet
Law
Leadership & Management
Automotive
Engineering
Software
Recruiting & HR
Retail
Sales
Services
Science
Small Business & Entrepreneurship
Food
Environment
Economy & Finance
Data & Analytics
Investor Relations
Sports
Spiritual
News & Politics
Travel
Self Improvement
Real Estate
Entertainment & Humor
Health & Medicine
Devices & Hardware
Lifestyle
Change Language
Language
English
Español
Português
Français
Deutsche
Cancel
Save
Submit search
EN
Uploaded by
jdo
PPTX, PDF
480 views
[컴퓨터비전과 인공지능] 4. 최적화
미시건대 저스틴 존슨 교수님 강의 기반 https://www.youtube.com/watch?v=YnQJTfbwBM8&t=2621s
Engineering
◦
Read more
0
Save
Share
Embed
Embed presentation
Download
Download to read offline
1
/ 48
2
/ 48
3
/ 48
4
/ 48
5
/ 48
6
/ 48
7
/ 48
8
/ 48
9
/ 48
10
/ 48
11
/ 48
12
/ 48
13
/ 48
14
/ 48
15
/ 48
16
/ 48
17
/ 48
18
/ 48
19
/ 48
20
/ 48
21
/ 48
22
/ 48
23
/ 48
24
/ 48
25
/ 48
26
/ 48
27
/ 48
28
/ 48
29
/ 48
30
/ 48
31
/ 48
32
/ 48
33
/ 48
34
/ 48
35
/ 48
36
/ 48
37
/ 48
38
/ 48
39
/ 48
40
/ 48
41
/ 48
42
/ 48
43
/ 48
44
/ 48
45
/ 48
46
/ 48
47
/ 48
48
/ 48
More Related Content
PDF
Social media newsroom for corporate conversation
by
Juny Lee
PPTX
Meconomy(4)
by
Miri Kim
PDF
2007 국제앰네스티 한국지부 연례보고서
by
Amnesty International Korea
PDF
블로거와 친구되는 샤인빌리조트
by
higwangsoo
PDF
Trend korea 2021 한국 소비 트렌드 2021
by
Jahee Lee
PDF
Future of work in 2030 2030년 일의 미래
by
Jahee Lee
PDF
[창업자&예비창업자] 2021 창업 트렌드
by
더게임체인저스
PDF
social media conversation guideline
by
Juny Lee
Social media newsroom for corporate conversation
by
Juny Lee
Meconomy(4)
by
Miri Kim
2007 국제앰네스티 한국지부 연례보고서
by
Amnesty International Korea
블로거와 친구되는 샤인빌리조트
by
higwangsoo
Trend korea 2021 한국 소비 트렌드 2021
by
Jahee Lee
Future of work in 2030 2030년 일의 미래
by
Jahee Lee
[창업자&예비창업자] 2021 창업 트렌드
by
더게임체인저스
social media conversation guideline
by
Juny Lee
What's hot
PDF
소셜미디어활용 온라인기초기획안
by
Youngmi Kang
PDF
Enterprise2.0 새로운 문화환경
by
freehub
DOC
선언을 이용하는 법
by
guest227003c
PDF
Enterprise2.0 기술적 과제
by
freehub
PDF
의대생이 알아야할 인터넷 상식
by
Kwangmo Yang
PPTX
Part2
by
Clara_Kim
PPTX
미코노미 1장
by
oganadang
PDF
Proximate social factors in first time contribution to online communities
by
LeeSoomin6
PDF
차분하고급진적인_M
by
kimdoongcat
PDF
20210104_m2
by
kimdoongcat
PDF
PR2.0 - 어디까지 왔나?
by
easysun
PPTX
Knowledge Creator 090528 Social Media
by
SungKwon Chun
PDF
시간관리특강 Sk에너지
by
kisu kim
PDF
learning ecosystem & extracurricular work in korea
by
woonjjang
PPTX
How Wiki Changes the World?
by
Asadal Lee
PDF
20210102
by
kimdoongcat
PDF
2021 트랜드 코리아
by
SeungYeon Jeong
PDF
투자자브로셔
by
Minho Choi
소셜미디어활용 온라인기초기획안
by
Youngmi Kang
Enterprise2.0 새로운 문화환경
by
freehub
선언을 이용하는 법
by
guest227003c
Enterprise2.0 기술적 과제
by
freehub
의대생이 알아야할 인터넷 상식
by
Kwangmo Yang
Part2
by
Clara_Kim
미코노미 1장
by
oganadang
Proximate social factors in first time contribution to online communities
by
LeeSoomin6
차분하고급진적인_M
by
kimdoongcat
20210104_m2
by
kimdoongcat
PR2.0 - 어디까지 왔나?
by
easysun
Knowledge Creator 090528 Social Media
by
SungKwon Chun
시간관리특강 Sk에너지
by
kisu kim
learning ecosystem & extracurricular work in korea
by
woonjjang
How Wiki Changes the World?
by
Asadal Lee
20210102
by
kimdoongcat
2021 트랜드 코리아
by
SeungYeon Jeong
투자자브로셔
by
Minho Choi
More from jdo
PDF
[컴퓨터비전과 인공지능] 10. 신경망 학습하기 파트 1 - 2. 데이터 전처리
by
jdo
PDF
[컴퓨터비전과 인공지능] 10. 신경망 학습하기 파트 1 - 1. 활성화 함수
by
jdo
PDF
[컴퓨터비전과 인공지능] 8. 합성곱 신경망 아키텍처 5 - Others
by
jdo
PDF
[컴퓨터비전과 인공지능] 8. 합성곱 신경망 아키텍처 4 - ResNet
by
jdo
PDF
[컴퓨터비전과 인공지능] 8. 합성곱 신경망 아키텍처 3 - GoogLeNet
by
jdo
PDF
[컴퓨터비전과 인공지능] 8. 합성곱 신경망 아키텍처 2 - ZFNet, VGG-16
by
jdo
PDF
[컴퓨터비전과 인공지능] 8. 합성곱 신경망 아키텍처 1 - 알렉스넷
by
jdo
PDF
[컴퓨터비전과 인공지능] 7. 합성곱 신경망 2
by
jdo
PDF
[컴퓨터비전과 인공지능] 7. 합성곱 신경망 1
by
jdo
PDF
[컴퓨터비전과 인공지능] 6. 역전파 2
by
jdo
PDF
[컴퓨터비전과 인공지능] 6. 역전파 1
by
jdo
PDF
[컴퓨터비전과 인공지능] 5. 신경망 2 - 신경망 근사화와 컨벡스 함수
by
jdo
PDF
[리트코드 문제 풀기] 연결 리스트
by
jdo
PDF
[컴퓨터비전과 인공지능] 5. 신경망
by
jdo
PDF
[리트코드 문제 풀기] 배열
by
jdo
PPTX
[컴퓨터비전과 인공지능] 3. 선형 분류기 : 손실 함수와 규제
by
jdo
PPTX
[컴퓨터비전과 인공지능] 3. 선형 분류 : 선형 분류기 일부
by
jdo
PPTX
Titanic kaggle competition
by
jdo
PPTX
1 2. 직선과 평면에서의 벡터 방정식
by
jdo
PPTX
1-1. 공학과 수학에서 벡터/ 내적 직교
by
jdo
[컴퓨터비전과 인공지능] 10. 신경망 학습하기 파트 1 - 2. 데이터 전처리
by
jdo
[컴퓨터비전과 인공지능] 10. 신경망 학습하기 파트 1 - 1. 활성화 함수
by
jdo
[컴퓨터비전과 인공지능] 8. 합성곱 신경망 아키텍처 5 - Others
by
jdo
[컴퓨터비전과 인공지능] 8. 합성곱 신경망 아키텍처 4 - ResNet
by
jdo
[컴퓨터비전과 인공지능] 8. 합성곱 신경망 아키텍처 3 - GoogLeNet
by
jdo
[컴퓨터비전과 인공지능] 8. 합성곱 신경망 아키텍처 2 - ZFNet, VGG-16
by
jdo
[컴퓨터비전과 인공지능] 8. 합성곱 신경망 아키텍처 1 - 알렉스넷
by
jdo
[컴퓨터비전과 인공지능] 7. 합성곱 신경망 2
by
jdo
[컴퓨터비전과 인공지능] 7. 합성곱 신경망 1
by
jdo
[컴퓨터비전과 인공지능] 6. 역전파 2
by
jdo
[컴퓨터비전과 인공지능] 6. 역전파 1
by
jdo
[컴퓨터비전과 인공지능] 5. 신경망 2 - 신경망 근사화와 컨벡스 함수
by
jdo
[리트코드 문제 풀기] 연결 리스트
by
jdo
[컴퓨터비전과 인공지능] 5. 신경망
by
jdo
[리트코드 문제 풀기] 배열
by
jdo
[컴퓨터비전과 인공지능] 3. 선형 분류기 : 손실 함수와 규제
by
jdo
[컴퓨터비전과 인공지능] 3. 선형 분류 : 선형 분류기 일부
by
jdo
Titanic kaggle competition
by
jdo
1 2. 직선과 평면에서의 벡터 방정식
by
jdo
1-1. 공학과 수학에서 벡터/ 내적 직교
by
jdo
Download
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-1-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-2-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-3-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-4-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-5-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-6-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-7-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-8-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-9-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-10-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-11-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-12-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-13-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-14-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-15-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-16-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-17-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-18-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-19-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-20-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-21-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-22-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-23-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-24-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-25-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-26-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-27-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-28-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-29-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-30-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-31-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-32-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-33-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-34-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-35-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-36-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-37-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-38-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-39-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-40-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-41-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-42-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-43-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-44-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-45-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-46-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-47-2048.jpg)
![[컴퓨터비전과 인공지능] 4. 최적화](https://image.slidesharecdn.com/lec4202101181335optimization-210119155221/75/4-48-2048.jpg)
![[창업자&예비창업자] 2021 창업 트렌드](https://cdn.slidesharecdn.com/ss_thumbnails/2021trend-210106143933-thumbnail.jpg?width=640&height=640&fit=bounds)
![[컴퓨터비전과 인공지능] 10. 신경망 학습하기 파트 1 - 2. 데이터 전처리](https://cdn.slidesharecdn.com/ss_thumbnails/lec10trainingneuralnetworkspart12datapreprocessing-210223065837-thumbnail.jpg?width=640&height=640&fit=bounds)
![[컴퓨터비전과 인공지능] 10. 신경망 학습하기 파트 1 - 1. 활성화 함수](https://cdn.slidesharecdn.com/ss_thumbnails/lec10trainingneuralnetworks1activationfunction-210221112518-thumbnail.jpg?width=640&height=640&fit=bounds)
![[컴퓨터비전과 인공지능] 8. 합성곱 신경망 아키텍처 5 - Others](https://cdn.slidesharecdn.com/ss_thumbnails/lec8convolutionnetworksarcitecture5others-210215060452-thumbnail.jpg?width=640&height=640&fit=bounds)
![[컴퓨터비전과 인공지능] 8. 합성곱 신경망 아키텍처 4 - ResNet](https://cdn.slidesharecdn.com/ss_thumbnails/lec8convolutionnetworksarcitecture4resnet-210214112234-thumbnail.jpg?width=640&height=640&fit=bounds)
![[컴퓨터비전과 인공지능] 8. 합성곱 신경망 아키텍처 3 - GoogLeNet](https://cdn.slidesharecdn.com/ss_thumbnails/lec8convolutionnetworksarcitecture3googlenet-210214112100-thumbnail.jpg?width=640&height=640&fit=bounds)
![[컴퓨터비전과 인공지능] 8. 합성곱 신경망 아키텍처 2 - ZFNet, VGG-16](https://cdn.slidesharecdn.com/ss_thumbnails/lec8convolutionnetworksarcitecture2zfnetvgg16-210213163140-thumbnail.jpg?width=640&height=640&fit=bounds)
![[컴퓨터비전과 인공지능] 8. 합성곱 신경망 아키텍처 1 - 알렉스넷](https://cdn.slidesharecdn.com/ss_thumbnails/lec8convolutionnetworksarcitecture1alexnet-210213163008-thumbnail.jpg?width=640&height=640&fit=bounds)
![[컴퓨터비전과 인공지능] 7. 합성곱 신경망 2](https://cdn.slidesharecdn.com/ss_thumbnails/lec7convolutionnetworks2-210213150820-thumbnail.jpg?width=640&height=640&fit=bounds)
![[컴퓨터비전과 인공지능] 7. 합성곱 신경망 1](https://cdn.slidesharecdn.com/ss_thumbnails/lec7convolutionnetwork-210207104334-thumbnail.jpg?width=640&height=640&fit=bounds)
![[컴퓨터비전과 인공지능] 6. 역전파 2](https://cdn.slidesharecdn.com/ss_thumbnails/lec6backpropagation2-210203225156-thumbnail.jpg?width=640&height=640&fit=bounds)
![[컴퓨터비전과 인공지능] 6. 역전파 1](https://cdn.slidesharecdn.com/ss_thumbnails/lec6backpropagation-210201173541-thumbnail.jpg?width=640&height=640&fit=bounds)
![[컴퓨터비전과 인공지능] 5. 신경망 2 - 신경망 근사화와 컨벡스 함수](https://cdn.slidesharecdn.com/ss_thumbnails/neuralnetwork2-210128174417-thumbnail.jpg?width=640&height=640&fit=bounds)
![[리트코드 문제 풀기] 연결 리스트](https://cdn.slidesharecdn.com/ss_thumbnails/127coma-210127082946-thumbnail.jpg?width=640&height=640&fit=bounds)
![[컴퓨터비전과 인공지능] 5. 신경망](https://cdn.slidesharecdn.com/ss_thumbnails/lec5neuralnetwork-210125014802-thumbnail.jpg?width=640&height=640&fit=bounds)
![[리트코드 문제 풀기] 배열](https://cdn.slidesharecdn.com/ss_thumbnails/leetcode-210119155410-thumbnail.jpg?width=640&height=640&fit=bounds)
![[컴퓨터비전과 인공지능] 3. 선형 분류기 : 손실 함수와 규제](https://cdn.slidesharecdn.com/ss_thumbnails/202101112200linearclassifier2-210111130805-thumbnail.jpg?width=640&height=640&fit=bounds)
![[컴퓨터비전과 인공지능] 3. 선형 분류 : 선형 분류기 일부](https://cdn.slidesharecdn.com/ss_thumbnails/202101111400linearclassifier-210111060058-thumbnail.jpg?width=640&height=640&fit=bounds)
