March 2026
Intermediate
504 pages
11h 26m
Korean
Content preview from 파이토치로 배우는 LLM & AI
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57
2
장
컴퓨터 비전 소개
컴퓨터 비전 소개
CHAPTER
2
1
장에서 머신러닝의 기초적인 작동 방식을 소개했습니다. 신경망으로 데이터와 레이블을 매핑
하는 프로그램을 작성하는 방법과 이로부터 항목을 구별하는 규칙을 추론하는 방법을 살펴봤
습니다.
이 장에서 다음 단계로 이런 개념을 컴퓨터 비전에 적용해 봅니다. 여기서는 모델이 사진 속 사
물을 인식하는 방법을 배웁니다. 따라서 모델은 사진에 무엇이 있는지 볼 수 있습니다. 이번 장
에서는 잘 알려진 의류 데이터셋을 사용해 의류 아이템을 구별하는 모델을 만듭니다. 이 모델
은 여러 의류 아이템의 차이점을 학습합니다.
2.1
컴퓨터 비전의 작동 방식
컴퓨터 비전은 컴퓨터가 단순히 픽셀을 저장하는 것을 넘어서 특정 객체를 인식할 수 있는 능
력을 말합니다. 예를 들어 [그림
2
-
1
]과 같은 의류 아이템을 생각해 보죠. 동일 아이템이라도
형태가 다양하며 복잡합니다. 두 신발을 보면 매우 다르지만 둘 다 모두 신발입니다.
58
1
부
모델 구축
그림
2-1
의류 샘플
여러분은 그림 속 의류 아이템을 종류별로 알아볼 수 있습니다. 어떤 것이 셔츠, 코트, ...
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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.