January 2017
Beginner to intermediate
312 pages
7h 3m
Korean
Content preview from 밑바닥부터 시작하는 딥러닝
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271
8
장
-
딥러닝
8.2.3
GoogLeNet
GoogLeNet
의 구성은 [그림
8
-
10
]과 같습니다. 그림의 사각형이 합성곱 계층과 풀링 계층
등의 계층을 나타냅니다.
그림
8-10
GoogLeNet
[
23
]
그림을 보면 구성이 매우 복잡해 보이는데, 기본적으로는 지금까지 보아온
CNN
과 다르지 않
습니다. 단,
GoogLeNet
은 세로 방향 깊이뿐 아니라 가로 방향도 깊다는 점이 특징입니다.
GoogLeNet
에는 가로 방향에 ‘폭’이 있습니다. 이를 인셉션 구조라 하며, 그 기반 구조는 [그
림
8
-
11
]과 같습니다.
그림
8-11
GoogLeNet
의 인셉션 구조
[
23
]
필터 결합
3x3 합성곱 1x1 합성곱 5x5 합성곱 3x3 최대 풀링
앞 계층
인셉션 구조는 [그림
8
-
11
]과 같이 크기가 다른 필터 (와 풀링 )를 여러 개 적용하여 그 결과를
결합합니다. 이 인셉션 구조를 하나의 빌딩 블록 (구성요소)으로 사용하는 것이
GoogLeNet
의 특징인 것이죠. 또
GoogLeNet
에서는
1
×
1
크기의 필터를 사용한 합성곱 계층을 많은 곳
에서 사용합니다. 이
1
×
1
의 합성곱 연산은 채널 쪽으로 크기를 줄이는 것으로, 매개변수 제거
와 고속 처리에 기여합니다(자세한 것은 원논문
[
23
]
을 참고하세요).
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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.