January 2017
Beginner to intermediate
312 pages
7h 3m
Korean
Content preview from 밑바닥부터 시작하는 딥러닝
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270
밑바닥부터 시작하는 딥러닝
최근 몇 년 빼어난 성적을 거두고 있는 딥러닝 중에서도
VGG
,
GoogLeNet
,
ResNet
은 특히
유명하며, 다양한 딥러닝 분야에서 활용됩니다. 이어지는 절들에서는 이들 세 유명 신경망을
간단히 소개드리겠습니다.
8.2.2
VGG
VGG
는 합성곱 계층과 풀링 계층으로 구성되는 ‘기본적’인
CNN
입니다. 다만, [그림
8
-
9
]와
같이 비중 있는 층(합성곱 계층, 완전연결 계층)을 모두
16
층(혹은
19
층)으로 심화한 게 특징
입니다 (층의 깊이에 따라서 ‘
VGG16
’과 ‘
VGG19
’로 구분하기도 합니다).
그림
8-9
VGG
[
22
]
VGG
에서 주목할 점은
3
×
3
의 작은 필터를 사용한 합성곱 계층을 연속으로 거친다는 것입니
다. 그림에서 보듯 합성곱 계층을
2
~
4
회 연속으로 풀링 계층을 두어 크기를 절반으로 줄이는
처리를 반복합니다. 그리고 마지막에는 완전연결 계층을 통과시켜 결과를 출력합니다.
VGG
는
2014
년 대회에서
2
위를 거뒀습니다. 성능 면에서는
1
위인
GoogLeNet
에 뒤지지만,
VGG
는 구성이 간단하여 응용하기 좋습니다. 그래서 많은 기술자가
VGG
기반의 신경망을 즐겨 사용합
니다.
완전연결
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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.