August 2024
Beginner to intermediate
640 pages
14h 53m
Korean
Content preview from AI를 위한 필수 수학
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71
Chapter 2 -
데이터, 데이터, 또 데이터
33
https://oreil.ly/7fnPa
34
https://oreil.ly/Yq1pJ
간 분량의 음악 데이터셋인
MagnaTagATune
33
을 학습했다. 이 데이터셋은
29
초짜리 클립
으로 구성되어 있으며 음악의 장르, 악기 편성, 템포, 볼륨, 분위기 등을 설명하는
188
개의 태
그가 레이블로 달려 있다. 레이블이 지정된 데이터는 인공지능 시스템에 매우 유용하다. 가설
함수의 결과를 측정할 수 있는 기준을 제공하기 때문이다. 이 내용은 이어지는 몇 개의 절에서 알
아본다.
유명한 이미지 분류 (컴퓨터 비전 ) 모델인
AlexNet
(
2012
)은 어떤 데이터로 훈련되었을까?
AlexNet
의 합성곱 신경망은
ImageNet
34
이라는 데이터셋으로 훈련되었다. 이 데이터셋은 인
터넷에서 스크랩한 수백만 개의 이미지와 수천 개의 클래스로 레이블링되어 있다. 이 레이블들
은 크라우드소싱
crowdsourcing
으로 사람이 직접 지정한 것이다.
지금까지 살펴본 모든 예시는 비정형 데이터라는 점에 유의하자.
특정 인공지능 시스템이 훈련한 데이터가 공개되어 있지 않은 경우 해당 인공지능에 대한 논문
이나 문서를 찾아서 데이터를 어떻게 얻었는지 읽어보는 것도 좋다. 그것만으로도 많은 것을
배울 수 있다.
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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.
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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.