August 2021
Beginner to intermediate
720 pages
15h 32m
Korean
Content preview from fastai와 파이토치가 만나 꽃피운 딥러닝
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472
2
fastai 애플리케이션 계층 이해하기
dls = tls.dataloaders(after_item=[Resize(224), ToTensor],
after_batch=[IntToFloatTensor, Normalize.from_stats(*imagenet_stats)])
보통 때보다 더 많은 변형을 지정했다는 사실에 유의하세요. 데이터블록
API
를 사용하면 이 모
든 변형이 자동으로 추가되어 눈에 보이지 않기 때문입니다.
●
ToTensor
는 이미지를 텐서로 변환합니다(역시 튜플의 모든 요소에 적용됩니다 )
●
IntToFloatTensor
는
0
~
255
사이의 정숫값을 포함하는 이미지 텐서를 부동소수로 변환한 다음
255
로 나누어 모든 값이
0
~
1
사이가 되도록 변환합니다.
이제 이렇게 만든
DataLoaders
로 모델을 학습시킬 수 있습니다. 입력 이미지가 둘이기 때문
에
cnn
_
learner
가 제공하는 모델보다 조금 더 사용자 정의가 첨가된 모델이 필요합니다. 이
런 모델을 구축하고 학습시키는 방법은
15
장에서 다룹니다.
11.4
fastai
는 계층적
API
를 제공합니다. 보통의 환경에서는 코드 단 한 줄만으로 데이터를 가져올
수 있습니다. 따라서 초심자는 데이터 조립에 많은 시간을 투자하지 않고 모델 학습에만 집중
할 수 있습니다. 그리고 ...
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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.