March 2026
Intermediate
504 pages
11h 26m
Korean
Content preview from 파이토치로 배우는 LLM & AI
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82
1
부
모델 구축
고 전이 학습으로 다른 사람이 만든 기존의 특징을 사용해 봅니다. 그다음 드롭아웃으로 모델
을 최적화하는 방법을 간단히 알아보겠습니다.
3.1
합성곱
합성곱은 단순한 가중치의 필터로서 픽셀에 가중치를 곱해서 새로운 픽셀 값을 만듭니다. 예를
들어 패션
MNIST
의 앵클부츠 이미지의 픽셀 값이 [그림
3
-
1
]과 같다고 가정해 보죠.
그림
3-1
앵클부츠 합성곱
중앙의 픽셀 값은
192
입니다 (패션
MNIST
는
0
~
255
사이의 흑백 이미지라는 것을 기억하세
요). 가운데 픽셀의 왼쪽 위 픽셀 값은
0
이고 바로 위 픽셀 값은
64
입니다.
아래에 있는 파란 그리드처럼
3
×
3
격자 크기의 필터를 정의하면 픽셀을 새로운 값으로 변환
할 수 있습니다.
3
×
3
이미지 픽셀에 있는 값을 필터의 동일한 위치에 있는 값과 곱한 뒤 모
두 더합니다. 이 값이 현재 픽셀에 대한 새로운 값입니다. 이 과정을 이미지에 있는 모든 픽셀
에 반복합니다.
이 경우 픽셀의 현잿값은 이미지 그리드 중앙에 있는
192
이지만 필터를 적용한 후 새로운 값은
다음과 같습니다.
83
3
장
고급 컴퓨터 비전: ...
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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.