March 2026
Intermediate
504 pages
11h 26m
Korean
Content preview from 파이토치로 배우는 LLM & AI
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127
4
장
파이토치 데이터셋
이를 기반으로 이 장의 서두에서 언급한 다양한 라이브러리에서 제공하는 데이터셋 클래스를
살펴보겠습니다. 이 클래스를 기반으로 구축되거나 확장되었으므로
API
가 낯설지 않을 것입
니다.
4.2
FashionMNIST
클래스 살펴보기
이 책의 서두에서 패션
MNIST
데이터셋을 제공하는
FashionMNIST
클래스를 보았습니다. 훈
련 세트에는
10
개의 클래스에 대한
60
,
000
개의 샘플이 있고, 테스트 세트에는
10
,
000
개의 샘
플이 있습니다. 각 샘플은
28
×
28
크기의 흑백 이미지입니다.
이 데이터셋의 경우 동일한 클래스로 훈련 데이터나 테스트/검증 데이터를 얻을 수 있으며,
train
매개변수에서 지정합니다. 예를 들면 다음과 같습니다.
# FashionMNIST 훈련 데이터셋 생성
fashion_mnist_train = datasets.FashionMNIST(root='./data', train=True,
download=True, transform=transform)
train
=
True
로 지정하면 이 클래스의
__
init
__
메서드가
60
,
000
개의 샘플이 담긴 데이터셋
을 반환합니다. 데이터가 저장된 경로를 지정하거나 데이터 다운로드 여부를 결정하는 다른 매
개변수도 있습니다. 마지막으로 데이터셋을 만들 때
transform ...
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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.