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* matplotlib | * matplotlib | ||
실습 | 실습 | ||
* numpy, matplotlib [https://view.officeapps.live.com/op/view.aspx?src=https%3A%2F%2Fraw.githubusercontent.com%2Fktasha45%2Fsprout-class-2022%2Fmaster%2Flearn_numpy2-quiz.pptx&wdOrigin=BROWSELINK quiz) | * numpy, matplotlib ([https://view.officeapps.live.com/op/view.aspx?src=https%3A%2F%2Fraw.githubusercontent.com%2Fktasha45%2Fsprout-class-2022%2Fmaster%2Flearn_numpy2-quiz.pptx&wdOrigin=BROWSELINK quiz]) | ||
다음 시간에 배울 것 | 다음 시간에 배울 것 | ||
* Introduction of neural network | * Introduction of neural network | ||
Revision as of 12:31, 3 April 2022
refer to Python Numpy Tutorial deep learning
calender OT: 3/13 1차: 3/20 2차: 3/27
lecture material github
things to study python algorithm
1차시
3/20 20:00-20:45 참가: 김동영, 원지환 불참: 이수은 배운 것
- python, jupyter notebook, colab 소개
- boolean, 사칙연산, string, list, loop, dictionary
다음 시간에 배울 것
- class
- numpy
2차시
3/27 21:00-21:50 배운 것
- numpy
- class 조금
다음 시간에 배울 것
- numpy 실습
- matplotlib
3차시
4/03 20:05-21:15 배운 것
- numpy
- matplotlib
실습
- numpy, matplotlib (quiz)
다음 시간에 배울 것
- Introduction of neural network