August 2021
Beginner to intermediate
720 pages
15h 32m
Korean
Content preview from fastai와 파이토치가 만나 꽃피운 딥러닝
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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.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.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.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.
581
15
애플리케이션 구조 깊게 살펴보기
지금까지 영상 처리,
NLP
, 테이블 데이터 분석에 관한 최신 모델의 구조를 다루며 완전히 파악
했습니다. 이 장은
fastai
가 제공하는 응용 모델의 작동 방식과 구현의 상세 부분을 다룹니다.
또한
11
장에서 만든
Siamese
모델용 데이터 전처리로 돌아가서,
fastai
라이브러리로 미리 정
의하지 않은 새로운 작업에 적용할 수 있는 사전 학습된 모델을 구축하는 방법도 살펴봅니다.
영상 처리 분야로 시작해보죠.
15.1
영상 처리 애플리케이션에서는 작업에 따라
cnn
_
learner
나
unet
_
learner
함수로 모델을 구
축했습니다. 이번 절에서는
1
부와
2
부에서 사용한
Learner
객체를 만드는 방법을 살펴봅니다.
15.1.1
cnn
learner
cnn
_
learner
함수를 사용할 때 일어나는 일을 살펴봅시다. 신경망의
으로 사용할 구조를
넣어줍니다. 대부분
ResNet
을 몸통 부분으로 사용합니다(이미
ResNet
을 만드는 방법도 배웠
죠). 그러면 사전 학습된 가중치가 다운로드되어
ResNet
에 장착됩니다.
CHAPTER
15
582
3
딥러닝의 기반 지식
그리고 전이 학습을 하려면 신경망을 일부
해야 합니다. 즉 이미지넷에 특화한 분류 작업
을 수행하는 마지막 계층을 ...
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and much more.
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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.