March 2026
Intermediate
504 pages
11h 26m
Korean
Content preview from 파이토치로 배우는 LLM & AI
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60
1
부
모델 구축
그림
2-3
패션
MNIST
데이터셋에 있는 이미지 확대
다른 이미지와 마찬가지로 픽셀의 사각형 그리드입니다. 이 그리드의 크기는
28
×
28
이고 각
픽셀은
0
과
255
사이의 값입니다. 따라서 흑백 사각형으로 표현됩니다. 보기 쉽도록 픽셀이 드
러나도록 확대했습니다.
이전 장에서 보았던 함수로 이런 픽셀 값을 사용하는 방법을 알아보죠.
2.2
컴퓨터 비전을 위한 뉴런
1
장에서 컴퓨터가 일련의
x
,
y
값을 받아 둘 사이의 관계가
y
=
2x
-
1
이라는 것을 학습하는
간단한 예제를 보았습니다. 이를 위해 한 개의 층과 한 개의 뉴런으로 구성된 매우 간단한 신경
망을 사용했습니다.
이를 그림으로 그리면 [그림
2
-
4
]와 같습니다.
(w, b)
x
y=wx+b
w=2
b=–1
x
y=2x–1
학습
그림
2-4
선형 관계를 학습하는 하나의 뉴런
61
2
장
컴퓨터 비전 소개
각 이미지는
0
과
255
사이의
784
개(
28
×
28
=
784
) 값으로 구성됩니다. 이 값이
x
가 됩니
다. 이 데이터셋에 있는 이미지의 종류는
10
가지입니다. 이것이
y
가 됩니다. 이
y
를
x
의 함수
로 나타내고 ...
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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.