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heartcored98 avatar heartcored98 commented on June 30, 2024

좋은 질문들 너무 감사드립니다!

  1. 저희가 Neural Net 모델에 데이터를 인풋으로 넣어줄 때는 일반적으로 인풋 값들이 -1~1 사이로 정규화 될 때 성능이 높다고 empirical 하게 보고되고 있어서 (어둡게?) Normalize를 하는데요. imshow 함수는 원본 이미지를 시각화하는 함수라서 다시 matplotlib가 원하는 값의 범위(0~1)를 맞춰주기 위해서 2로 나누고 0.5를 다시 더해줍니다!

  2. 맨 끝줄의 optimizer.zero_grad()는 코드를 정리하다가 미처 지우지 못한 부분이네요 👍
    수정하도록 하겠습니다!

from standalone-deeplearning.

soheekim911 avatar soheekim911 commented on June 30, 2024

이해가 되었습니다. 답변 감사드립니다!!

from standalone-deeplearning.

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