[BASIC]
- (한국어) Machine Learning & Deep Learning(모두를 위한 머신러닝과 딥러닝의 강의) – 김성훈 교수 (Basic, RL. NLP) with TF
- 휴먼 러닝 : 머신 러닝 학습 노트
- 제1회 딥러닝컨퍼런스 자료 (`17.2)
- 인공지능과 머신러닝 – KAIST K-MOOC
[Deep Learning]
- Deep Learning Lectures at the University of Oxford by Nando de Freitas
- MIT 6.S191: Introduction to Deep Learning
- DeepHack.RL – (러시아)
- CS229 Machine Learning Autumn 2016 – Andrew Ng, John Duchi
[Deep Learning – Reinforcement]
- CS 294: Deep Reinforcement Learning, Spring 2017 http://rll.berkeley.edu/deeprlcourse/ (한글요약)
- https://iamtrask.github.io/2015/11/15/anyone-can-code-lstm/
[Deep Learning – NLP]
- 유니버시티 칼리지 런던(UCL)의 ‘Advanced Topics in Machine Learning‘ (DL for NLP by Oxford & DeepMind)
- 옥스포드 대학 ‘Deep Learning for Natural Language Processing‘ – 온라인 깃허브에 슬라이드와 함께 동영상 링크 포함
