May 2020
Beginner to intermediate
952 pages
24h 11m
Korean
Content preview from 핸즈온 머신러닝(2판): 사이킷런, 케라스, 텐서플로 2를 활용한 머신러닝, 딥러닝 완벽 실무
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590
2
부
신경망과 딥러닝
을 모두 읽어보길 추천합니다. 이 논문들은 재미있게 읽을 수 있고 딥러닝 시스템이 점진적으
로 어떻게 향상되는지 보여주는 좋은 예입니다.
mAP
객체 탐지에서 널리 사용하는 평가 지표는
mAP
mean
average
precision
입니다. ‘
mean
average
’는
의미가 중복된 것처럼 보입니다. 이 지표를 이해하기 위해
3
장에서 소개한 분류 지표인 정밀도
와 재현율을 떠올려봅시다. 이 두 지표에는 트레이드-오프가 있습니다. 재현율이 높을수록 정
밀도가 낮습니다. 이 값을 정밀도/재현율 곡선으로 그려볼 수 있습니다 (그림
3
-
5
). 이 곡선을
하나의 숫자로 요약하려면 곡선의 아래 면적을 계산합니다(
AUC
). 하지만 정밀도/재현율 곡
선에서 재현율이 증가할 때 정밀도가 상승하는 영역이 포함될 수 있습니다. 특히 재현율 값이
낮을 때입니다 (
[
그림
3
-
5
]
의 왼쪽 위에서 이를 볼 수 있습니다). 이것이
mAP
지표가 만들어
진 이유 중 하나입니다.
한 분류기가
10
% 재현율에서
90
% 정밀도를 달성하고
20
% 재현율에서는
96
% 정밀도를 달성
한다고 가정해봅시다. 여기서는 트레이드-오프가 없습니다. 재현율과 정밀도 모두 상승하므로
10
% 재현율보다
20
% 재현율의 분류기를 사용하는 것이 당연합니다. 따라서
10
% 재현율에서
정밀도를 보는 ...
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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.