비전문가의 인공지능 분야 진입 실험: Tensor Flow를 기반으로

  • 송윤섭 (충남대학교 공과대학 전파정보통신공학부) ;
  • 권영미 (충남대학교 전파정보통신공학과)
  • 발행 : 2016.09.30

초록

키워드

참고문헌

  1. 인공지능 - 위키백과, 우리 모두의 백과사전. https:/ /ko.wikipedia.org/wiki/인공지능 (accessed Sep., 18, 2016).
  2. CNTK - Computational Network Toolkit. https://cntk.ai/ (accessed Sep., 18, 2016).
  3. Distributed Machine Learning Toolkit. http://www.dmtk.io/ (accessed Sep., 18, 2016).
  4. TensorFlow - an Open Source Software Library for Machine Intelligence. https://www.tensorflow.org/ (accessed Sep., 18, 2016).
  5. Torch - Scientific computing for LuaJIT. http://torch.ch/ (accessed Sep., 18, 2016).
  6. VELES - Distributed platform for rapid Deep learning application development. https://velesnet.ml/ (accessed Sep., 18, 2016).
  7. MTN 2016년 3월 16일 인터넷 뉴스, http://news.mtn.co.kr/issue/viewer.mtn?gidx=2016031615445183333 (accessed Sep., 30, 2016).
  8. Word2Vec 소개, http://deeplearning4j.org/kr/ kr-word2vec (accessed Sep., 18, 2016).
  9. Mikolov, T., Chen, K., Corrado, G., & Dean, J. Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781. (2013).
  10. 빅데이터 실전 튜토리얼, https://jiafei427.wordpress.com/2015/08/강좌-빅데이터-실전-튜토리얼
  11. Python 한국어 NLP, http://konlpy-ko.readthedocs.io/ko/v0.4.3/ (accessed Sep., 30, 2016).
  12. metplotlib, http://matplotlib.org/ (accessed Sep.18, 2016)
  13. word2vec_basic.py 소스 코드, https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/tutorials/ord2vec/word2vec_basic.py (accessed Sep., 18, 2016).