wantyouring / ML-practice-code

머신러닝 연습실

machine learning prac_code

머신러닝을 공부하자! Let's do Machine Learning!!

참고 사이트

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)

---얼굴인식---

https://medium.com/@jongdae.lim/%EA%B8%B0%EA%B3%84-%ED%95%99%EC%8A%B5-machine-learning-%EC%9D%80-%EC%A6%90%EA%B2%81%EB%8B%A4-part-4-63ed781eee3c (얼굴인식 학습과정)

ageitgey/face_recognition#175 (face recognition library들 설치 issue)