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Python_Deep
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딥러닝 학습
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00_keras 맛보기(학생성적 예측).ipynb
00_keras 맛보기(학생성적 예측).ipynb
01 keras 맛보기(폐암환자 생존 예측).ipynb
01 keras 맛보기(폐암환자 생존 예측).ipynb
02 keras 맛보기(유방암 데이터 분류).ipynb
02 keras 맛보기(유방암 데이터 분류).ipynb
03 keras 맛보기(iris 품종 분류).ipynb
03 keras 맛보기(iris 품종 분류).ipynb
04 손글씨 이미지 데이터 분류(keras).ipynb
04 손글씨 이미지 데이터 분류(keras).ipynb
05 패션 이미지 데이터 분류(keras).ipynb
05 패션 이미지 데이터 분류(keras).ipynb
05_1 패션이미지 데이터 분류(원핫인코딩x, 손실함수 sparse_categorical_crossentropy).ipynb
05_1 패션이미지 데이터 분류(원핫인코딩x, 손실함수 sparse_categorical_crossentropy).ipynb
06 사람 얼굴 이진분류(keras).ipynb
06 사람 얼굴 이진분류(keras).ipynb
07 활성화함수, 최적화 함수 비교(패션 이미지 데이터).ipynb
07 활성화함수, 최적화 함수 비교(패션 이미지 데이터).ipynb
08 손글씨 데이터 학습하기(CNN).ipynb
08 손글씨 데이터 학습하기(CNN).ipynb
09 개, 고양이 사진 예측 전처리(데이터화).ipynb
09 개, 고양이 사진 예측 전처리(데이터화).ipynb
10 개,고양이 사진 예측(CNN).ipynb
10 개,고양이 사진 예측(CNN).ipynb
11 SimpleRNN 사용하기!.ipynb
11 SimpleRNN 사용하기!.ipynb
12 로이터 뉴스 분류하기 (RNN).ipynb
12 로이터 뉴스 분류하기 (RNN).ipynb
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