2017 챗봇 트랜드

https://orat.io/Bot-Trends-2017.pdf https://brunch.co.kr/@gentlepie/7

봇 실습을 위한 자료

랭봇 실습을 위한 자료 (`17.2.11) https://github.com/PsyLang/langbot/blob/master/ui/telegram/test_langbot_telegram.ipynb   RNN기반 봇 https://github.com/daydrill Zipf’s Law

Making Neural Programming Architectures Generalize via Recursion

https://openreview.net/forum?id=BkbY4psgg

https://arxiv.org/abs/1701.01724

https://arxiv.org/abs/1701.01724

Deep Language Modeling for Question Answering using Keras

Deep Language Modeling for Question Answering using Keras   http://ben.bolte.cc/blog/2016/keras-language-modeling.html

research sketch

http://hi.cs.waseda.ac.jp/~esimo/en/research/sketch/

140 Machine Learning Formulas

http://www.datasciencecentral.com/m/blogpost?id=6448529%3ABlogPost%3A515463

머신러닝 스터디 (강의) 자료 설명

https://brunch.co.kr/@aidenswmo/2   유튜브에 있는 한국어로 된 머신 러닝, 딥 러닝, 텐서플로 강의 링크를 모아봤습니다. 공부하는 것만으로도…

인공지능, 자동화, 경제 – 미 백악관

https://brunch.co.kr/@troicacho/22

CS224n: Natural Language Processing with Deep Learning

https://web.stanford.edu/class/cs224n/