August 2021
Beginner to intermediate
720 pages
15h 32m
Korean
Content preview from fastai와 파이토치가 만나 꽃피운 딥러닝
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311
7
최신 모델의 학습 방법
이번 장은 이미지 분류 모델 학습에 심화 기법을 적용하고, 최신 수준의 결과를 얻는 방법을 다
룹니다. 여기서 다루는 내용은 다른 장의 선수 지식이 아닙니다. 따라서 다른 딥러닝 응용 분야
를 좀 더 알고 싶다면 이 장을 건너뛴 다음 나중에 다시 읽어도 좋습니다.
구체적으로는 정규화, 강력한 데이터 증강 기법인
Mixup
, 점진적 크기 조절 기법, 테스트
시 증강 기법을 살펴봅니다. 밑바닥부터 모델을 학습시켜 나가면서 이런 기법을 점진적으로 다
룹니다. 전이 학습은 사용하지 않으며,
ImageNet
(
https
://
oreil
.
ly
/
1uj3x
)의 일부
로 구성된
Imagenette
를 데이터셋으로 사용합니다. 이미지넷에서 매우 다른 범주
10
개
만을 뽑아 만든 이미지네트 데이터셋은 유의미한 학습 실험을 빠르게 할 목적으로 제작했습니다.
이번에 사용하는 이미지는 풀컬러로 표현된 실치수
full
-
size
이며, 이미지는 서로 다른 크기, 방
향, 조명 등으로 표현된 물체를 포함하므로 지금껏 다룬 데이터셋보다 난도가 훨씬 높습니다.
따라서 이 장에서는 데이터셋의 가능성을 최대한 끌어내는 중요한 기술을 소개합니다. 특히 밑
바닥에서부터 학습을 진행할 때와 사전 학습된 모델과는 매우 다른 데이터셋을 다룰 때 전이
학습을 ...
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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.