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@ -13,6 +13,8 @@ https://gitea.pinblog.codes/attachments/9b2424f7-7e7d-4ad1-a368-86a523d67504
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* 원본
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* 원본
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https://gitea.pinblog.codes/attachments/9a31bb80-bc0a-4d5a-83b1-4ef0557456ad
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https://gitea.pinblog.codes/attachments/9a31bb80-bc0a-4d5a-83b1-4ef0557456ad
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-----
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### Dataset
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### Dataset
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[Kaggle - WDI Data](https://www.kaggle.com/qingyi/wm811k-wafer-map/code)
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[Kaggle - WDI Data](https://www.kaggle.com/qingyi/wm811k-wafer-map/code)
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@ -26,6 +28,15 @@ https://gitea.pinblog.codes/attachments/9a31bb80-bc0a-4d5a-83b1-4ef0557456ad
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https://gitea.pinblog.codes/CBNU/03_WDI_CNN/releases/tag/info
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https://gitea.pinblog.codes/CBNU/03_WDI_CNN/releases/tag/info
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-----
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### 평가방법
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### 평가방법
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* 모델의 성능지표(Precision, Recall, Accuracy, F1-Score)를 혼동행렬(Confusion Metrix)로 구현한다.
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* 모델의 성능지표(Precision, Recall, Accuracy, F1-Score)를 혼동행렬(Confusion Metrix)로 구현한다.
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-----
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### 테스트 결과
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* 1차 테스트
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https://gitea.pinblog.codes/CBNU/03_WDI_CNN/wiki/1%EC%B0%A8---%EC%9B%90%EB%B3%B8-%EB%8D%B0%EC%9D%B4%ED%84%B0-%ED%95%99%EC%8A%B5
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