강사: [김동영]
새싹: [원지환], ~~[이수은]~~

'''refer to'''
[https://cs231n.github.io/python-numpy-tutorial/ Python Numpy Tutorial]
[https://github.com/dhrim/MDC_2021/blob/master/deep_learming.md deep learning]

'''calender'''
OT: 3/13
1차: 3/20
2차: 3/27
3차: 4/03

'''lecture material'''
[https://github.com/ktasha45/sprout-class-2022 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
 * [https://view.officeapps.live.com/op/view.aspx?src=https%3A%2F%2Fraw.githubusercontent.com%2Fktasha45%2Fsprout-class-2022%2Fmaster%2Ffirst.pptx&wdOrigin=BROWSELINK ppt], [https://github.com/ktasha45/sprout-class-2022/blob/master/learn_python_1.ipynb colab]
다음 시간에 배울 것
 * class
 * numpy

== 2차시 ==
3/27 21:00-21:50
배운 것
 * numpy
 * class 조금
 * [https://github.com/ktasha45/sprout-class-2022/blob/master/learn_numpy.ipynb colab]
다음 시간에 배울 것
 * numpy 실습
 * matplotlib

== 3차시 ==
4/03 20:05-21:15
배운 것
 * numpy
 * matplotlib
 * [https://github.com/ktasha45/sprout-class-2022/blob/master/learn_numpy2.ipynb colab]
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])
다음 시간에 배울 것
 * Introduction of neural network
 * Algorithm practice

== 4차시 ==


== 5차시 ==
5/01 20:00 - 21:10
배운 것
 * tensroflow, keras
 * perceptron, mlp
 * [https://view.officeapps.live.com/op/view.aspx?src=https%3A%2F%2Fraw.githubusercontent.com%2Fktasha45%2Fsprout-class-2022%2Fmaster%2F%25EC%2583%2588%25EC%258B%25B9%25EA%25B5%2590%25EC%258B%25A4%25205%25EC%25A3%25BC.pptx&wdOrigin=BROWSELINK ppt]
실습
 * [https://colab.research.google.com/github/ktasha45/sprout-class-2022/blob/master/tensorflow_1.ipynb#scrollTo=cnN1ivXBpXhB NMIST 단순 신경망]
다음 시간에 배울 것
 * CNN
 * backpropagation