January 2017
Beginner to intermediate
312 pages
7h 3m
Korean
Content preview from 밑바닥부터 시작하는 딥러닝
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237
7
장
-
합성곱 신경망(CNN)
(
3
,
3
)이지만, 원한다면 (
2
,
2
)나 (
1
,
1
) 또는 (
5
,
5
) 등으로 설정해도 되는 것이죠. 다시 말
하지만, 필터의 채널 수는 입력 데이터의 채널 수와 같도록(이 예에서는
3
) 설정해야 합니다.
7.2.6
블록으로 생각하기
3
차원의 합성곱 연산은 데이터와 필터를 직육면체 블록이라고 생각하면 쉽습니다. 블록은 [그
림
7
-
10
]과 같은
3
차원 직육면체입니다. 또,
3
차원 데이터를 다차원 배열로 나타낼 때는 (채
널
channel
, 높이
height
, 너비
width
) 순서로 쓰겠습니다. 예를 들어 채널 수
C
, 높이
H
, 너비
W
인 데
이터의 형상은 (
C
,
H
,
W
)로 씁니다. 필터도 같은 순서로 씁니다. 예를 들어 채널 수
C
, 필터
높이
FH
Filter
Height
, 필터 너비
FW
Filter
Width
의 경우 (
C
,
FH
,
FW
)로 씁니다.
그림
7-10
합성곱 연산을 직육면체 블록으로 생각한다. 블록의 형상에 주의할 것!
입력 데이터 출력 데이터필터
자, 이 예에서 출력 데이터는 한 장의 특징 맵입니다. 한 장의 특징 맵을 다른 말로 하면 채널이
1
개인 특징 맵이죠. 그럼 합성곱 연산의 출력으로 다수의 채널을 내보내려면 어떻게 해야 할까
요? 그 답은 필터 (가중치)를 다수 사용하는 것입니다. 그림으로는 [그림 ...
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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.