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README.md
README.md
 
 

README.md

Jiphyeonjeon Season 2 - Beginners' Group

Table of Contents

Textbook

딥 러닝을 이용한 자연어 처리 입문

Presentations

  • 01: 텍스트 전처리 전반부 1 ~ 5 챕터

    • Video, Presentation
    • Keywords: Tokenization, Cleaning, Normalization, Stemming, Lemmatization, Stopword, Regular Expression
    • Team: 김경환, 박은빈, 신승배

  • 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

  • 03: 언어 모델

    • Video, Presentation
    • Keywords: Languagel Model, Statistical Languagel Model, SLM, n-gram
    • Team: 최수진, 허영운, 조정원

  • 04: 카운트 기반의 단어 표현

    • Video, Presentation
    • Keywords: Bag of Words, Document-Term Matrix, Term Frequency-Inverse Document Frequency
    • Team: 기대현, 조다희, 홍다솔

  • 05: 벡터 유사도

    • Video, Presentation
    • Keywords: Vector Similarity, Cosine Similarity, Euclidean distance
    • Team: 조성철, 지현구, 박서영

  • 06: 토픽 모델링

    • Video, Presentation
    • Keywords: Latent Semantic Analysis, Singular Value Decomposition, Latent Dirichlet Allocation
    • Team: 김준태, 박준현(발표자), 전인성

  • 07: 머신러닝 개요

    • Video, Presentation
    • Keywords: Machine Learning, Confusion Matrix, Linear Regression, Auto Diff, Auto Gradient
    • Team: 최희욱(발표자), 김유진, 장호섭

  • 08: 머신 러닝 개요 후반부 5 ~ 9 챕터

    • Video, Presentation
    • Keywords: Logistic Regression, Vector, Matrix, Softmax Regression
    • Team: 주혜신(발표자), 장영찬(발표자), 차경묵

  • 09: 딥러닝 개요 전반부 1 ~ 5 챕터

    • Video, Presentation
    • Keywords: Perceptron, Activation function, Loss function, Optimizer, BackPropagation, Overfitting, Gradient Vanishing & Exploding
    • Team: 금예은(발표자)

  • 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)

  • 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)

  • 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)

  • 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)

  • 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)

  • 22: 텍스트 요약 (Text Summarization)

    • Video, Presentation
    • Keywords: Text Rank, Text summarization, T5
    • Team: 도정민(발표자), 조희준(발표자), 김산

  • 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)