참고해볼만한 링크

AI 관련

1. Learn the basics about machine learning (classification, regression, common algorithms). https://classroom.udacity.com/courses/ud120
2. Learn about deep learning (gradient descent, backprop etc.). https://adventuresinmachinelearning.com/neural-networks-tutorial/
3. Read about reinforcement learning https://spinningup.openai.com/en/latest/index.html
4. Study individual research papers thoroughly.

Must read book: https://www.goodreads.com/book/show/24072897-deep-learning

구글 딥마인트 아타리 게임 오픈소스 : https://github.com/deepmind/dqn

The biggest problem with this whole thing is that there is an enormous amount of maths involved, and you really can't get around it. If you don't know at least calculus, it's not worth even starting.

numpy

http://taewan.kim/post/numpy_cheat_sheet/

python 라이브러리 관련

https://jhlblue.tistory.com/10?category=273382

python PyQt5 관련

https://wikidocs.net/21853 https://opentutorials.org/module/544/18842

python keyboard, mouse 관련

1. keyboard : https://github.com/boppreh/keyboard
2. mouse : https://github.com/boppreh/mouse

python pyHook 관련

1. 튜토리얼 : https://sourceforge.net/p/pyhook/wiki/PyHook_Tutorial/
2. API : http://pyhook.sourceforge.net/doc_1.5.0/

python pyAutoGUI 관련

1. Documentation : https://pyautogui.readthedocs.io/en/latest/index.html
2. 참고 : https://wikidocs.net/26460#_5

python 마우스 리스너 관련

https://webnautes.tistory.com/1219