cs230_lec6_C5W3
Basic models Sequence to Sequence models Image Captioning 마지막에 rnn으로 변경해서 문장을 output으로 만들 수 있음 Picking the most likely sentence Machine Translat...
Basic models Sequence to Sequence models Image Captioning 마지막에 rnn으로 변경해서 문장을 output으로 만들 수 있음 Picking the most likely sentence Machine Translat...
NLP and Word Embedding
Recurrent Neural Network
Object localization Image classification은 이미지가 어떠한 종류인지 구분 Classification with localization : 종류인지 구분+ 위치 Detection : 감지하는 물체가 1개 이상임 Classificati...
Object localization Image classification은 이미지가 어떠한 종류인지 구분 Classification with localization : 종류인지 구분+ 위치 Detection : 감지하는 물체가 1개 이상임 Classificati...
(From : deeplearningai https://www.youtube.com/watch?time_continue=386&v=AwQHqWyHRpU)
(From : deeplearningai https://www.youtube.com/watch?time_continue=386&v=AwQHqWyHRpU)
(From : deeplearningai https://www.youtube.com/watch?time_continue=386&v=AwQHqWyHRpU)
(From : deeplearningai https://www.youtube.com/watch?time_continue=386&v=AwQHqWyHRpU)
(From : deeplearningai https://www.youtube.com/watch?time_continue=386&v=AwQHqWyHRpU)
(From : deeplearningai https://www.youtube.com/watch?time_continue=386&v=AwQHqWyHRpU)
(From : deeplearningai https://www.youtube.com/watch?time_continue=386&v=AwQHqWyHRpU)
(From : deeplearningai https://www.youtube.com/watch?time_continue=386&v=AwQHqWyHRpU)
(From : deeplearningai https://www.youtube.com/watch?time_continue=386&v=AwQHqWyHRpU)
(From : deeplearningai https://www.youtube.com/watch?time_continue=386&v=AwQHqWyHRpU)
(From : deeplearningai https://www.youtube.com/watch?time_continue=386&v=AwQHqWyHRpU)
참고- 문일철 교수님 유튜브-AAiKaist \ (https://www.youtube.com/watch?v=sDG1Y1vxOjs&list=PLbhbGI_ppZISMV4tAWHlytBqNq1-lb8bz&index=2)
참고- 문일철 교수님 유튜브-AAiKaist \ (https://www.youtube.com/watch?v=sDG1Y1vxOjs&list=PLbhbGI_ppZISMV4tAWHlytBqNq1-lb8bz&index=2)
참고- 문일철 교수님 유튜브-AAiKaist \ (https://www.youtube.com/watch?v=sDG1Y1vxOjs&list=PLbhbGI_ppZISMV4tAWHlytBqNq1-lb8bz&index=2)
참고- 문일철 교수님 유튜브-AAiKaist \ (https://www.youtube.com/watch?v=sDG1Y1vxOjs&list=PLbhbGI_ppZISMV4tAWHlytBqNq1-lb8bz&index=2)
참고- 문일철 교수님 유튜브 (https://www.youtube.com/watch?v=sDG1Y1vxOjs&list=PLbhbGI_ppZISMV4tAWHlytBqNq1-lb8bz&index=2)
Alan V. Oppenheim, Signals and Systems 책 내용입니다. 앞으로는 내용의 핵심만 정리할 예정 연속시간 푸리에 변환
Alan V. Oppenheim, Signals and Systems 책 내용입니다. 앞으로는 내용의 핵심만 정리할 예정 주기신호의 푸리에 급수표현
Alan V. Oppenheim, Signals and Systems 책 내용입니다.
Alan V. Oppenheim, Signals and Systems 책 내용입니다.
Full-Cycle Deep Learning Projects
(From : Stanfordoline https://www.youtube.com/watch?time_continue=386&v=AwQHqWyHRpU)
데이터가 많을수록 large Neural Networks 의 성능이 엄청나게 좋게 나타남 DL/ML, Probablistic graphical model, planning, search algorithm, knowledge representation, game theory...
## Modeling Damage Quantifying damage levels Predicting the rate of change of damage
Modeling Components Study of Load model,Component model Useful in assessing the change in component response when components are damaged ...
1. Health Monitoring 정리 4가지 과정 작동, 환경 부하 확인(Identification) 기계적 데미지 확인 데미지의 증가 확인 데미지의 축적에 따른 컴포넌트의 미래 성능 예측 하중이 물체...
Copyright of Image : Joseph Rocca
Copyright of Image : Joseph Rocca
Visualizing temporal data line graph stacked area chart steam graph
오토인코더의 모든 것 Naver(이활석) 강연자 강의 정리내용입니다. (https://www.youtube.com/watch?v=o_peo6U7IRM)
1. 서론
Time-Frequency(시간-주파수) 1장은 Deterministic signals 의 Fourier theory에 대한 리뷰 Deterministic signal : 정의역 전체에 대해서 그 함수의 값이 해석적으로 정확히 알려지는 신호(이후 신호 특성...