1분기 세미나: Natural Language Processing With Deep Learning

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2019 1분기 NLP with Deep Learning 세미나 내용 요약

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개발 환경설정:

• Tensorflow With Miniconda
• Virtual Env Miniconda Windows Bat Jupyter

Neural Network 기초:

• Logistic Regression 이론
• Logistic Regression 실전: And Gate 만들어보기 (Python)
• Multi-Layer Neural Network
• Multi-Layer Neural Network의 실전: XOR Gate 만들어보기 (Python)

Neural Network -based Language Model:

• Paper Review: A Neural Probabilistic Language Model (미완)
• Paper Review: Distributed Representations of Words and Phrases and their Compositionality (a.k.a. Word2Vec) (미완)
• Paper Review: GloVe - Global Vectors for Word Representation (미완)

Recurrent Neural Network:

• Vanilla RNN 실습: Character-level language model with RNN
• Vanilla LSTM 실습: Character-level language model with LSTM

Survey Paper

• Recent Trends in Deep Learning Based Natural Language Processing (미완) - by 최우성
• Recent Trends in Deep Learning Based Natural Language Processing (미완) - by 이태민