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딥러닝 북마크 논문 및 서베이 논문 :  https://arxiv.org/ 머신러닝 + 논문 :  https://paperswithcode.com/ 딥러닝 독서 맵(커리큘럼) : https://www.mindmeister.com/ko/812276967/_?fullscreen=1 이론 딥러닝 코드 기초 :  https://www.slideshare.net/mobile/yongho/ss-79607172?from_m_app=android&fbclid=IwAR2eRllNDkPszSWILaBl00ijCEB2fUXkq5S1TADFUp02QxImfshVNXDu0yE NLP 이론 및 강좌 : http://www.aistudy.co.kr/linguistics/natural/natural_language_processing.htm [논문 리뷰] Wide & Deep Learning for Recommender Systems - paper review : https://leehyejin91.github.io/post-wide_n_deep/ AI / ML Canvas : https://medium.com/@RoboAndy/ml-ai-model-canvas-59ac4c03c0ea 한남대학교 교수님 통계 :  http://wolfpack.hnu.ac.kr/ 도큐먼트 tensorflow 한글 : https://tensorflowkorea.gitbooks.io/tensorflow-kr/content/g3doc/api_docs/python/constant_op.html 텐서플로 자격증 : https://www.tensorflow.org/certificate 자격증 pdf : https://www.tensorflow.org/site-assets/downloads/marketing/cert/TF_Certificate_Candidate_Handbook.pdf 코드 밑바닥부터 시작하는 딥러닝 : https://github.com/WegraLee/deep-learning-from-sc