머신러닝을 공부하자! Let's do Machine Learning!!
https://codeonweb.com/entry/12045839-0aa9-4bad-8c7e-336b89401e10 (MNIST 기본)
https://gym.openai.com/ (open gym)
https://wikidocs.net/21 (파이썬 기본 문법)
https://www.slideshare.net/madvirus/keras-intro (케라스 기초)
https://datascienceschool.net/view-notebook/51e147088d474fe1bf32e394394eaea7/ (케라스 기초)
https://neurowhai.tistory.com/133 (케라스 MNIST)
https://keon.io/deep-q-learning/ (케라스 dqn cartpole)
https://github.com/hunkim/ReinforcementZeroToAll (김성훈 교수 RL)
https://locallab-seoul.tistory.com/3 (tensorflow 모델 저장, 불러오기)
https://jay.tech.blog/2018/07/27/deep-deterministic-policy-gradient/ (ddpg 참고)
https://github.com/openai/gym/wiki/Table-of-environments (openai gym모델들 observation,action space 정리)
파이썬과 케라스로 배우는 강화학습 (책 참고)
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ageitgey/face_recognition#175 (face recognition library들 설치 issue)