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posts
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* Week20(pstage) - Day5
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* Week20(pstage) - Day3
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* Week20(pstage) - Day2
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* Week20(pstage) - Day1
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* Logging
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* Week19(pstage) - Day5
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* Week19(pstage) - Day4
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* Docker - Basic
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* Week19(pstage) - Day3
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* FastAPI - FastAPI 기본지식, Pydantic
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* FastAPI - FastAPI 심화
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* FastAPI - 백엔드의 기초
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* Week19(pstage) - Day2
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* Cloud
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* Linux & Shell Command
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* 프로토타이핑 - 웹 서비스 형태(Streamlit)
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* Week19(pstage) - Day1
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* 프로토타이핑 - Notebook 베이스(Voila)
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* 머신러닝 프로젝트 라이프 사이클
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* Model serving 개론
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* MLOps 개론
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* 모델 경량화 - 이미지 분류(분리수거)
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* NLP 모델 경량화 - Knowledge Distilation
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* Week18(pstage) - Day3
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* NLP 모델 경량화 (1)
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* Week18(pstage) - Day1
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* Week17(pstage) - Day2
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* Week16(pstage) - Day4
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* Week16(pstage) - Day2
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* Week16(pstage) - Day1
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* 2021 하반기 11번가 코딩테스트 후기
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* Codility LongestPassword (Python)
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* Week15(pstage) - Day4
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* Week15(pstage) - Day3
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* Week15(pstage) - Day2
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* 자연어처리 데이터 소개
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* Week15(pstage) - Day1
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* 자연어처리 데이터 기초
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* 데이터 제작의 A to Z
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* Week14(pstage) - SUN
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* Week14(pstage) - SAT
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* 훈민정음에 스며들다 - 대화 요약 (역량 평가 및 예선)
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* KLUE - Machine Reading Comprehension (ODQA)
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* Week14(pstage) - Day4
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* Week14(pstage) - Day3
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* Triplet Loss with Pytorch
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* Week14(pstage) - Day1
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* Dense Passage Retrieval with Pytorch
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* Negative log likelihood Loss with pytorch
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* Week13(pstage) - Day5
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* Week13(pstage) - Day4
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* Week13(pstage) - Day3
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* 허깅 페이스 Trainer를 이용해 학습 중 샘플 출력해보기 (QA task)
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* Week13(pstage) - Day2
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* Week13(pstage) - Day1
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* 2021 하반기 삼성전자 코딩테스트 후기
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* BAEK2573 빙산 (Python)
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* BAEK5014 스타트링크 (Python)
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* BAEK17141 게리맨더링 (Python)
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* Week12(pstage) - Day5
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* BAEK3954 Brainf**k 인터프리터 (Python)
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* Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
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* Week12(pstage) - Day4
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* Week12(pstage) - Day3
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* BAEK17406 배열 돌리기4 (Python)
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* QA with Phrase Retrieval
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* NSML 사용법 (계속 추가 중)
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* Week12(pstage) - Day2
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* Closed-book QA with T5
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* Reducing Training Bias
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* Week12(pstage) - Day1
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* Week11(pstage) - Weekend
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* Week11(pstage) - Day4
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* Linking MRC and Retrieval
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* Scaling up with FAISS
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* Custom data를 이용해 WordPiece 방식으로 vocab 생성 및 BertTokenizer 훈련하기
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* Week11(pstage) - Day3
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* Passage Retrieval - Dense Embedding
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* Week11(pstage) - Day2
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* Passage Retrieval - Sparse Embedding
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* Generation-based MRC
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* Week11(pstage) - Day1
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* Extraction-based MRC
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* MRC Intro & Python Basics
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* Hugging face - QA model classification head 분석해보기
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* Week11(pstage) - Day0 (대체공휴일)
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* Programmers 월간 챌린지 10월 - 1번 / 2번 (Python)
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* 2021 하반기 네이버 신입 개발자 공채 코딩 테스트 후기
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* Week10(pstage) - Day4
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* KLUE - Relation Extraction
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* Week10(pstage) - Day3
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* Week10(pstage) - Day2
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* torcn.nn.Embedding 알아보기
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* Programmers 86971 위클리 챌린지 9 - 전력망 둘로 나누기 (python)
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* Week10(pstage) - Day1
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* GPT - applications
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* Huggingface - RobertaForSequenceClassification의 반환값 분석
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* Scikit-learn train_test_split의 random_state
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* Entity를 변형해 데이터 Augmentation 하기
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* Week9(pstage) - Day5
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* BERT vs RoBERTa vs ELECTRA
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* Hugging face - Custom Loss
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* Week9(pstage) - Day4
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* Week9(pstage) - Day3
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* BERT 기반 두 문장의 관계 분류 (한국어)
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* Week9(pstage) - Day2
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* BERT 언어모델 소개 및 학습 with 한국어
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* Week9(pstage) - Day1
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* 자연어의 전처리
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* 인공지능과 자연어처리
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* A method of relation extraction using pre-training models
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* BAEK17472 다리 만들기 2(python)
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* Huggingface- KLUE- 관계 추출
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* Week8 - Day2
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* Week8 - Day1
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* Huggingface- Text Classification
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* BAEK21610 마법사 상어와 비바라기(C++, python)
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* Huggingface- Chapter 4. Sharing models and tokenizers
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* BAEK21609 상어 중학교(C++, Python)
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* BAEK21608 상어 초등학교(C++, Python)
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* Huggingface- Chapter 3. Fine-tunning
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* Huggingface- Chapter 2. Pretrained model & tokenizer
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* Week7 - Day5
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* Huggingface- Chapter 1. pipeline, theory
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* Week7 - Day4
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* Week7 - Day3
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* NLP: GPT-2/3, ALBERT, ELECTRA
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* Byte Pair Encoding
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* Week7 - Day2
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* NLP: GPT-1, BERT
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* Week7 - Day1
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* Transformer - Multi head attention
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* Transformer - Self attention
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* 마스크 이미지 분류 대회
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* 2022-kakao-코딩테스트
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* Week6 - Day5
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* Visualization-PIE
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* Visualization-Polar
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* Week6 - Day4
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* Week6 - Day3
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* Beam search and BLEU score
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* Seq2Seq with attention
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* Week6 - Day2
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* Recurrent Neural Network - NLP
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* Week6 - Day1
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* NLP word embedding
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* NLP basic
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* BAEK22981 휴먼 파이프라인(C++, Python)
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* Week5(pstage) - SUN
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* Week5(pstage) - SAT
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* Week5(pstage) - Day5
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* Week5(pstage) - Day4
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* Week5(pstage) - Day3
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* Week5(pstage) - Day2
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* Week5(pstage) - Day1
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* Week4(pstage) - SUN
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* Week4(pstage) - SAT
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* Week4(pstage) - day5
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* BAEK2178 미로탐색(Python)
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* Week4(pstage) - day4
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* Visualization-Seaborn Basic
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* BAEK2667 단지번호 붙이기(C++, Python)
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* Week4(pstage) - day3
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* BAEK2066 바이러스(C++, Python)
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* Week4(pstage) - day2
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* Week4(pstage) - day1
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* Week3 - SUN
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* BAEK1655 가운데를 말해요(C++)
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* Hook and Apply
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* Week3 - SAT
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* Visualization-More Tips
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* Visualization-Facet 활용
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* Visualization-Color 활용
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* Week3 - day5
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* Visualization-Text 활용
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* Pytorch(8)-Trouble shooting
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* Pytorch(7)-Hyperparameter tuning
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* BAEK-2075 N번째 큰수(C++)
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* Pytorch(6)-MultiGPU
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* Week3 - day4
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* BAEK-11286 절대값 힙(C++)
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* Pytorch(5)-Monitering(Tensorbaord & Weight and Bias)
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* Pytorch(4)-모델 불러오기(transfer learning)
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* Week3 - day3
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* BAEK-1967 최소힙(C++, Python)
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* Pytorch(3)-Dataset & DataLoader
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* Pytorch(2)-AutoGrad & Optimizer
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* Week3 - day2
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* Pytorch(1)-Basic
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* Week3 - day1(휴일)
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* Week2 - 일요일
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* SWEA-12222 문자열 나누기(C++, Python)
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* GAN - Mode collapsing
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* Week2 - 토요일
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* Softmax regression and Cross-entropy
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* Week2 - 5일차
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* Generative model-VAE, GAN
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* Generative model-통계이론 및 모델
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* Week2 - 4일차
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* Transformer
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* Recurrent Neural Network
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* Week2 - 3일차
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* Convolution Neural Network
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* Week2 - 2일차
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* Visualization-Scatter
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* Optimization
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* Visualization-Line
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* Visualization-Bar
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* Week2 - 1일차
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* Ensemble - bagging and boosting
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* Vanishing gradient & Relu
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* Week1 - 토요일
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* Week1 - 일요일
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* Week1 - 5 일차
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* Week1 - 4 일차
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* Week1 - 3 일차
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* Week1 - 2 일차
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* Week1 - 1 일차
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* Batch Normalization layer
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* 오늘의 일기, 07-30
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* Entropy, KL Divergence (정보이론)
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* Pytorch, 대용량 데이터 처리 with Dataset 클래스
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* Tensorflow, 대용량 데이터 처리 with h5py, HDF5Matrix
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* 오늘의 일기, 07-28
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* Tips
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* Multivariable linear/logistic regression
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* Precourse PyTorch Basic Tensor Manipulation
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* Maximum Likelihood
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* Precourse 수학튼튼-(2)
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* Precourse 수학튼튼-(1)
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* Precourse 수학기초
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* Precourse 파이썬 기초~다지기
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* Noise surppression 모델-(pytorch)
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* Noise surppression (잡음 제거) 결과샘플 <졸업논문>
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* Window10 손상된 파일/디렉토리 복구
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* Dday-13
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* 블로그 카테고리 지정 및 모아보기 기능 만들기(토글형식)
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* Machine Learning
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* JAVA
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* Programming
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* Data Structure (자료구조)
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* Algorithm (알고리즘)
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* Database (데이터베이스)
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* Network (네트워크)
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* Operation system (운영체제)
ML/AI/SW Developer