새싹교실/2022/옴마니반메훔

Difference between r1.25 and the current

@@ -9,6 +9,7 @@

OT: 3/13
1차: 3/20
2차: 3/27

3차: 4/03

'''lecture material'''
[https://github.com/ktasha45/sprout-class-2022 github]

@@ -24,6 +25,7 @@

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

@@ -33,6 +35,34 @@

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

강사: 김동영
새싹: 원지환, ~~이수은~~

refer to
Python Numpy Tutorial
deep learning

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

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
ppt, colab

다음 시간에 배울 것

class
numpy

2차시 ¶

3/27 21:00-21:50
배운 것

numpy
class 조금
colab

다음 시간에 배울 것

numpy 실습
matplotlib

3차시 ¶

4/03 20:05-21:15
배운 것

numpy
matplotlib
colab

실습

numpy, matplotlib (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
ppt

실습

NMIST 단순 신경망

다음 시간에 배울 것

CNN
backpropagation