[부스트캠프]Image-Classification-Competition

1.Data Augmentation 기법 고찰

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2.Multi-task Learning 고찰

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3.Mask, Gender, Age 분류 Single Task Learning

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4.Train, Validation set Split 방법 관련

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5.Callback Condition: F1, Accuracy

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6.Best model vs Distilation models

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7.Base model parameter Freeze vs Non-Freeze

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8.부스트캠프 Level1 대회 회고

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