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week5 분석 26기 조은빈 #78

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Update README.md
e-jungs2 Jan 13, 2026
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Update README.md
choiyoonhyeok Jan 13, 2026
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22 changes: 11 additions & 11 deletions README.md
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Expand Up @@ -8,17 +8,17 @@ BOAZ 26기 분석 Base 세션 자료 및 과제 제출 repo

|branch|날짜|세션 내용|
|------|-------|-------|
|Week1|26.01.15|딥러닝 기초 (ANN, DNN, CNN)|
|Week2|26.01.22|자연어처리 기초 (RNN, LSTM, GRU)|
|Week3|26.01.29|컴퓨터비전 기초 (CNN-based, YOLO)|
|Week4|26.02.05|자연어처리 심화 (Transformer, BERT)|
|Week5|26.02.12|컴퓨터비전 심화 (U-Net, ViT)|
|Week1|26.01.15|딥러닝 기초 : ANN, DNN, CNN|
|Week2|26.01.22|자연어처리 기초 : RNN, LSTM, GRU|
|Week3|26.01.29|컴퓨터비전 기초 : CNN-based, YOLO|
|Week4|26.02.05|자연어처리 심화 : Transformer, BERT|
|Week5|26.02.12|컴퓨터비전 심화 : U-Net, ViT|
|Week6|26.02.19|AI Agent 시스템 & 병렬 프로그래밍|
|Week7|26.02.26|미니 프로젝트1 최종 발표|
|Week8|26.03.05|자연어 생성형 모델 (GPT & DeepSeek)|
|Week9|26.03.12|실용적 대형언어모델 구축 (RAG & LoRA)|
|Week10|26.03.19|이미지 생성형 모델 (GAN & Diffusion)|
|Week11|26.03.26|멀티모달과 파운데이션 모델 (CLIP & SAM)|
|Week12|26.04.02|정형데이터에서의 딥러닝 활용 (TabNet & TabPFN)|
|Week8|26.03.05|자연어 생성형 모델 : GPT & DeepSeek|
|Week9|26.03.12|실용적 대형언어모델 구축 : RAG & LoRA|
|Week10|26.03.19|이미지 생성형 모델 : GAN & Diffusion|
|Week11|26.03.26|멀티모달과 파운데이션 모델 : CLIP & SAM|
|Week12|26.04.02|정형데이터에서의 딥러닝 활용 : TabNet & TabPFN|
***
Github 사용 안내 : [실습 시 Git Hub 사용 가이드라인](https://observant-wax-f96.notion.site/Git-Hub-229c031af4b980479de4cb6d7e73bf90?source=copy_link)
Github 사용 안내 : [실습 시 Git Hub 사용 가이드라인](https://amenable-neptune-f45.notion.site/Git-Hub-2e7db0522dd0810292e9c4f21617f544)