- 수정 및 업데이트 요청 : 고현웅(gusdnd852@naver.com), 박은빈(cosmos.42@icloud.com), 양수영(yse00800@gmail.com)
- 초급반 스케쥴: 구글 시트
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01: 텍스트 전처리 전반부 1 ~ 5 챕터
- Video, Presentation
- Keywords: Tokenization, Cleaning, Normalization, Stemming, Lemmatization, Stopword, Regular Expression
- Team: 김경환, 박은빈, 신승배
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02: 텍스트 전처리 후반부 6 ~ 10 챕터
- Video, Presentation
- Keywords: Integer Encoding, Padding, One-Hot Encoding, Splitting Data, Text Preprocessing Tools for Korean Text
- Team: 이창훈, 이문형, 유예림
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03: 언어 모델
- Video, Presentation
- Keywords: Languagel Model, Statistical Languagel Model, SLM, n-gram
- Team: 최수진, 허영운, 조정원
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04: 카운트 기반의 단어 표현
- Video, Presentation
- Keywords: Bag of Words, Document-Term Matrix, Term Frequency-Inverse Document Frequency
- Team: 기대현, 조다희, 홍다솔
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05: 벡터 유사도
- Video, Presentation
- Keywords: Vector Similarity, Cosine Similarity, Euclidean distance
- Team: 조성철, 지현구, 박서영
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06: 토픽 모델링
- Video, Presentation
- Keywords: Latent Semantic Analysis, Singular Value Decomposition, Latent Dirichlet Allocation
- Team: 김준태, 박준현(발표자), 전인성
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07: 머신러닝 개요
- Video, Presentation
- Keywords: Machine Learning, Confusion Matrix, Linear Regression, Auto Diff, Auto Gradient
- Team: 최희욱(발표자), 김유진, 장호섭
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08: 머신 러닝 개요 후반부 5 ~ 9 챕터
- Video, Presentation
- Keywords: Logistic Regression, Vector, Matrix, Softmax Regression
- Team: 주혜신(발표자), 장영찬(발표자), 차경묵
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09: 딥러닝 개요 전반부 1 ~ 5 챕터
- Video, Presentation
- Keywords: Perceptron, Activation function, Loss function, Optimizer, BackPropagation, Overfitting, Gradient Vanishing & Exploding
- Team: 금예은(발표자)
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10: 딥러닝 개요 후반부 6 ~ 10 챕터
- Video, Presentation
- Keywords: Keras, Sequential API, Functional API, Subclassing API, MLP, n-gram, Language Model, NNLM
- Team: 차민기(발표자), 성민석(발표자), 김민정(발표자)
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11: 순환 신경망 (Recurrent neural Network) ; 01) ~ 07)
- Video, Presentation
- Keywords: Keras, RNN, LSTM, GRU, RNNLM, CHAR-RNNLM
- Team: 김기동(발표자), 이주형(발표자), 최선웅(발표자)
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13: 워드 임베딩 (Word Embedding) 6 ~ 12 챕터
- Video, Presentation
- Keywords: Word Embedding, FastText, Keras Embedding, ELMo, Embedding Visualization, Recommendation System using Document Embedding, Average Word Embedding
- Team: 배수현(발표자), 변재경(발표자)
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16: 태깅 작업 (Tagging Task) 1 ~ 7 챕터
- Video, Presentation
- Keywords: Tagging Task, Bidirectional RNN, Keras, Sequence Labeling, LSTM, CRF, Named Entity Recognition, BiLSTM-CRF
- Team: 손한기(발표자), 김경리(발표자), 이동민(발표자)
- 20: 트랜스포머 (Transformer)
- Video, Presentation
- Keywords: Transformer, attention is all you need, self-attention, masked multi-head attention, positional encoding, seq2seq, encoder, decoder, Feed Forward Network, residual connection, layer normalization
- Team: 박상효(발표자), 은승현(발표자), 한다솜(발표자)
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19: 어텐션 메커니즘 (Attention Mechanism)
- Video, Presentation
- Keywords: Attention Mechanism, Attention score Function, Dot-Product Attention, Bahdanau Attention, Keras, BiLSTM, IMDB
- Team: 김두진(발표자), 박경민(발표자), 유병관(발표자)
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22: 텍스트 요약 (Text Summarization)
- Video, Presentation
- Keywords: Text Rank, Text summarization, T5
- Team: 도정민(발표자), 조희준(발표자), 김산
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23: 질의응답 (Question & Answering, QA)
- Video, Presentation
- Keywords: RNN, Question&Answering model, Memory network, End-to-End Memory network,
- Team: 박동호(발표자), 윤재두(발표자), 서혜영(발표자)