Seq2Seq

 

 

Seq2Seq 이론 및 구현을 정리하고 있습니다.

github code : https://github.com/fakecan/Seq2Seq/ 

GitHub - fakecan/Seq2Seq

코드는 깃허브에 구현되어 있고, 자료는 아래 Reference를 참고하여 진행하였습니다.

 

 

 

 

 

 

Reference

Seq2Seq

• https://jiho-ml.com/weekly-nlp-22/
• https://amber-chaeeunk.tistory.com/92
• https://velog.io/@sujeongim/NLPSeq2Seq-with-Attention

Seq2Seq code

• https://github.com/bentrevett/pytorch-seq2seq
• https://americanoisice.tistory.com/53
• https://deep-learning-study.tistory.com/685
• https://seducinghyeok.tistory.com/14

LSTM

• https://dgkim5360.tistory.com/entry/understanding-long-short-term-memory-lstm-kr

LSTM shape

• https://swlock.blogspot.com/2019/04/keras-lstm-understanding-input-and.html
• https://kimmisol.com/lstm-understanding-input-and-output-shapes-lstm-%EC%9E%85%EC%B6%9C%EB%A0%A5-shapes/

LSTM batch size

• https://pozalabs.github.io/lstm/

embedding

• https://wikidocs.net/64779
• https://wikidocs.net/33793
• https://taeguu.tistory.com/69