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제1장 그림으로 이해하는 순환신경망 ·············································································· 6
제2장 RNN 그림을 나타내기 위한 PyTorch 용어 ························································· 32
제3장 RNN을 구현할 구글 Colab ·················································································· 46
제4장 RNN 그림을 PyTorch로 변환 ··············································································· 52
제5장 학습 데이터의 형태(shape) ················································································· 76
제6장 신경망 학습이론 ··································································································· 92
제7장 신경망을 저장하고 불러오기 ············································································· 124
제8장 데이터를 분할하여 RNN을 학습 ········································································ 142
제9장 RNN 활용(네이버 영화 리뷰) ············································································ 168
제10장 RNN의 일반화 LSTM ························································································· 220