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Books-and-other-stuffs
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Issues
A
책, 튜토리얼(Following books, tutorials)\Books\만화로 쉽게 배우는 머신러닝\sample03.py
1
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A
책, 튜토리얼(Following books, tutorials)\Books\모두의 딥러닝\LSTM과 CNN을 조합해 영화 리뷰 분류하기.py
1
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A
책, 튜토리얼(Following books, tutorials)\Books\모두의 딥러닝\LSTM을 이용해 로이터 뉴스 카테고리 분석하기.py
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A
책, 튜토리얼(Following books, tutorials)\Books\모두의 딥러닝\MNIST 손글씨 인식하기 - CNN 적용.py
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A
책, 튜토리얼(Following books, tutorials)\Books\모두의 딥러닝\MNIST 손글씨 인식하기 - 기본 프레임.py
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A
책, 튜토리얼(Following books, tutorials)\Books\모두의 딥러닝\MNIST 손글씨 인식하기 - 데이터 전처리.py
1
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A
책, 튜토리얼(Following books, tutorials)\Books\모두의 딥러닝\Pima Indians' DIabetes example(1).py
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A
책, 튜토리얼(Following books, tutorials)\Books\모두의 딥러닝\경사 하강법(Gradient Descent) 그래프 예제.py
1
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A
책, 튜토리얼(Following books, tutorials)\Books\모두의 딥러닝\경사 하강법(Gradient Descent) 예제.py
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A
책, 튜토리얼(Following books, tutorials)\Books\모두의 딥러닝\다중 로지스틱 회귀(Multi logistic Regression) 예제.py
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A
책, 튜토리얼(Following books, tutorials)\Books\모두의 딥러닝\다중 선형 회귀(Multi linear Regression) 예제.py
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A
책, 튜토리얼(Following books, tutorials)\Books\모두의 딥러닝\다층 퍼셉트론(multi layer perceptron) 예제.py
6
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A
책, 튜토리얼(Following books, tutorials)\Books\모두의 딥러닝\로지스틱 회귀(logistic Regression) 예제.py
1
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A
책, 튜토리얼(Following books, tutorials)\Books\모두의 딥러닝\보스턴 집값 예측하기(Boston House price prediction).py
1
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A
책, 튜토리얼(Following books, tutorials)\Books\모두의 딥러닝\선형 회귀(linear Regression) 예제1.py
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A
책, 튜토리얼(Following books, tutorials)\Books\모두의 딥러닝\선형 회귀(linear Regression) 예제2.py
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A
책, 튜토리얼(Following books, tutorials)\Books\모두의 딥러닝\아이리스 품종 예측하기(IRIS prediction) 예제.py
1
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A
책, 튜토리얼(Following books, tutorials)\Books\모두의 딥러닝\역전파(back propagation) 예제.py
32
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A
책, 튜토리얼(Following books, tutorials)\Books\모두의 딥러닝\와인의 종류 예측하기 그래프 (overfit of wine's prediction graph).py
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책, 튜토리얼(Following books, tutorials)\Books\모두의 딥러닝\와인의 종류 예측하기(Full Wine Check and Stop).py
1
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