January 2017
Beginner to intermediate
312 pages
7h 3m
Korean
Content preview from 밑바닥부터 시작하는 딥러닝
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160
밑바닥부터 시작하는 딥러닝
그림
5-15
사과와 귤 쇼핑의 역전파 예 : 빈 상자 안에 적절한 숫자를 넣어 역전파를 완성하시오.
사과의 개수
귤의 개수
소비세
5.4
단순한 계층 구현하기
이번 절에서는 지금까지 보아온 ‘사과 쇼핑’ 예를 파이썬으로 구현합니다. 여기에서는 계산 그
래프의 곱셈 노드를 ‘
MulLayer
’, 덧셈 노드를 ‘
AddLayer
’라는 이름으로 구현합니다.
다음 절에서는 신경망을 구성하는 ‘층 (계층)’ 각각을 하나의 클래스로 구현합니다. 여기에서 말하
는 ‘계층’이란 신경망의 기능 단위입니다. 예를 들어 시그모이드 함수를 위한
Sigmoid
, 행렬 내적을 위한
Affine
등의 기능을 계층 단위로 구현합니다. 그래서 이번 절에서도 곱셈 노드와 덧셈 노드를 ‘계층’ 단위로
구현합니다.
5.4.1
곱셈 계층
모든 계층은
forward
( )와
backward
( )라는 공통의 메서드 (인터페이스)를 갖도록 구현할
것입니다.
forward
( )는 순전파,
backward
( )은 역전파를 처리합니다.
그럼 먼저 곱셈 계층을 구현해보죠. 곱셈 계층은
MulLayer
라는 이름의 클래스로 다음과 같이
구현할 수 있습니다(소스 코드는
ch05
/
layer
_
naive
.
py
에 있습니다).
161
5
장
-
오차역전파법
class MulLayer
:
def
__
init ...
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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.