August 2021
Beginner to intermediate
720 pages
15h 32m
Korean
Content preview from fastai와 파이토치가 만나 꽃피운 딥러닝
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662
4
밑바닥부터 구현하는 딥러닝
이제 해당 계층의 활성 맵을 확인할 수 있습니다.
_,ax = plt.subplots()
x_dec.show(ctx=ax)
ax.imshow(cam_map.detach().cpu(), alpha=0.6, extent=(0,224,224,0),
interpolation=’bilinear’, cmap=’magma’);
18.3
모델 해석은 활발히 연구 중인 분야이며, 이 장에서는 그중 매우 일부만을 살펴보았습니다. 클
래스 활성 맵은 도출된 예측 결과의 근거가 되는 이미지의 영역을 표시하여 모델 작동 방식에
관한 통찰을 제공합니다. 이 기법은 거짓 긍정
false
positive
을 분석하는 데 유용하며, 학습 시 부족
한 데이터 종류를 파악하는 데도 도움을 줍니다.
18.4
1
파이토치의 훅이란 무엇인가요?
2
CAM
은 어떤 계층의 출력을 사용하나요?
3
CAM
구현에 훅이 필요한 이유는 무엇인가요?
4
ActivationStats
클래스의 소스 코드 내부에서 훅이 사용되는 방식을 살펴보세요.
5
가능한 한 책을 보지 않고 모델의 특정 계층의 활성을 저장하는 훅을 작성해보세요.
663
18
CAM을 이용한 CNN의 해석
6
활성을 얻기 전
eval
을 호출하는 이유는 무엇인가요? 왜
no
_
grad
를
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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.