August 2021
Beginner to intermediate
720 pages
15h 32m
Korean
Content preview from fastai와 파이토치가 만나 꽃피운 딥러닝
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305
6
그 밖의 영상 처리 문제
>>> xb,yb = dls.one_batch()
>>> xb.shape,yb.shape
(torch.Size([64, 3, 240, 320]), torch.Size([64, 1, 2]))
미니배치의 모양이
이런지를 꼭 이해해야 합니다.
종속변수 중 한 행을 조사하여 담긴 데이터를 확인합니다.
>>> yb[0]
tensor([[0.0111, 0.1810]], device='cuda:5')
보다시피 별도의 이미지 회귀용
API
는 사용하지 않았습니다. 단지 입력 데이터를 위한 레이블
정보를 반환하는 함수, 독립변수와 종속변수가 표현하는 데이터 유형을 데이터블록
API
에 알
렸을 뿐이죠.
Learner
도 유사한 방향으로 만들 수 있습니다. 전에 사용한
cnn
_
learner
함수를 그대로 사
용하되 새로운 인자 하나를 추가로 사용할 뿐입니다. 그것으로 모델을 학습시킬 준비가 끝납니다.
6.2.2
지금까지 해온 대로
cnn
_
learner
함수로
Learner
를 만듭니다.
y
_
range
라는 인자로 타깃의
범위를 조절했던
1
장의 내용을 기억하나요? 여기서도 같은 작업을 하여 항상 좌푯값이 -
1
과
1
사이의 범위로 조정되도록 합니다.
learn = cnn_learner(dls, resnet18, y_range=(-1,1))
fastai ...
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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.