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beginner_source/introyt/introyt1_tutorial.py 오타 수정 #969

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beginner_source/introyt/introyt1_tutorial.py 오타 수정 #969

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2 changes: 1 addition & 1 deletion beginner_source/introyt/introyt1_tutorial.py
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Expand Up @@ -289,7 +289,7 @@ def num_flat_features(self, x):
# 대부분의 활성화 함수는 x = 0 부근에서 강한 기울기 값을 가지고 있어 데이터를
# 중앙으로 집중화하여 학습 속도를 높일 수 있습니다.
#
# 변환(trnasform)에 전달되는 값들은 각각 데이터셋에 있는 이미지들의 RGB 채널별
# 변환(transform)에 전달되는 값들은 각각 데이터셋에 있는 이미지들의 RGB 채널별
# 평균값(mean)들(첫번째 튜플)과 표준편차(standard deviation)들(두번째 튜플)입니다.
# 아래 몇 줄의 코드를 실행하여 직접 이 값을 계산해 볼 수 있습니다:
# ```
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