August 2021
Beginner to intermediate
720 pages
15h 32m
Korean
Content preview from fastai와 파이토치가 만나 꽃피운 딥러닝
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267
5
이미지 분류
WARNING
_
nll
_
loss
의 ‘
nll
’은 ‘음의 로그 가능도’를 의미하지만, 실제로는 로그를 전혀 사용하지 않습니다! 이미 로그가
적용되었다고 가정하죠. 파이토치에는 빠르고 정확한 방식으로
log
와
softmax
를 결합하는
log
_
softmax
함수가 있습니다.
nll
_
loss
는
log
_
softmax
이후에 사용하도록 설계되었습니다.
소프트맥스 다음에 로그 가능도를 적용하는 조합을 교차 엔트로피 손실이라고 합니다. 파이토
치에서는
nn
.
CrossEntropyLoss
(실제로는
log
_
softmax
다음에
nll
_
loss
를 수행함)로 교
차 엔트로피 손실을 사용할 수 있습니다.
loss_func = nn.CrossEntropyLoss()
보다시피 클래스죠. 인스턴스화하면 함수처럼 작동하는 객체를 얻을 수 있습니다.
>>> loss_func(acts, targ)
tensor(1.8045)
파이토치의 모든 손실 함수는 방금 본 클래스 형식과
F
네임스페이스에서 사용할 수 있는 일반
함수, 두 가지 형식으로 제공됩니다.
>>> F.cross_entropy(acts, targ)
tensor(1.8045)
어느 쪽이든 잘 작동하며 어떤 상황에서도 사용할 수 있습니다. 다만 대부분 클래스 사용을 선
호하고 파이토치의 공식
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.