March 2026
Intermediate
504 pages
11h 26m
Korean
Content preview from 파이토치로 배우는 LLM & AI
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287
11
장
시퀀스 모델을 위한 합성곱 신경망과 순환 신경망
시퀀스 모델을 위한
합성곱 신경망과 순환 신경망
CHAPTER
11
이전 몇 개의 장에 걸쳐서 시퀀스 데이터를 소개했습니다. 처음에 통계적인 방법으로 시퀀스를
예측했고 그다음엔 심층 신경망을 사용한 머신러닝 방법을 적용했습니다. 또한 모델의 하이퍼
파라미터를 튜닝하는 방법도 살펴보았습니다. 이 장에서는 합성곱 신경망과 순환 신경망을 사
용해 시퀀스 데이터를 예측하는 능력을 더욱 향상하는 기법을 알아보겠습니다.
11.1
시퀀스 데이터를 위한 합성곱
3
장에서 이미지 위를 지나가면서 특징을 추출하는
2D
필터를 가진 합성곱을 소개했습니다. 신
경망은 훈련을 통해 픽셀을 레이블에 매핑할 때 효과적인 필터 값을 학습합니다. 이 과정을 거
치며 이미지에서 특징을 추출합니다. 동일한 기법을 시계열 데이터에도 적용할 수 있지만 한
가지 수정이 필요합니다. 합성곱을
2
차원이 아닌
1
차원에서 수행하는 것입니다.
예를 들어 [그림
11
-
1
]과 같은 숫자 시계열을 생각해 보죠.
그림
11-1
숫자 시퀀스
288
1
부
모델 구축
1D
합성곱은 다음과 ...
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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.