요즘에 알파고 때문에 난리인 Deep learning 또는 Machine learning 관련 링크..
알파고 개발자 데미스 하사비스 초청강연 인공지능과 미래
http://www.tjmbc.co.kr/0506/player/id/4028
Deep Mind에서 나온 논문
Playing Atari with Deep Reinforcement Learning
http://arxiv.org/pdf/1312.5602v1.pdf
Human-level control through deep reinforcement learning
http://www.nature.com/nature/journal/v518/n7540/pdf/nature14236.pdf
Mastering the game of Go with deep neural networks and tree search
http://www.nature.com/nature/journal/v529/n7587/pdf/nature16961.pdf
Related to Deep Q-Network
Deep learning Lecture (University of Oxford)
CS188 Artificial Intelligence, Fall 2013
Instructor: Prof. Dan Klein (UCB)
아래 내용은 Machine learning으로 Protein 3D structure prediction 하는 연구 시도해보려다 말았던 자료들..
Long short-term memory (LSTM)
https://en.wikipedia.org/wiki/Long_short-term_memory
Prediction of Protein Secondary Structure using Long Short-Term Memory
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.130.3697&rep=rep1&type=pdf
Protein Secondary Structure Prediction with Long Short Term Memory Networks
[PDF] Annotating protein secondary structure from sequence
아래 링크는 https://www.facebook.com/kjw0612 이분 글에서 발췌함.
Deep learning 온라인 북
http://www.deeplearningbook.org/
Reinforcement Learning 관련 강의 또는 온라인 북
http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html
https://webdocs.cs.ualberta.ca/~sutton/book/ebook/the-book.html
Deep learning 행사 관련 자료