January 2017
Beginner to intermediate
312 pages
7h 3m
Korean
Content preview from 밑바닥부터 시작하는 딥러닝
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184
밑바닥부터 시작하는 딥러닝
grads
['
b2
']
=
self
.
layers
['
Affine2
'].
db
return grads
이 구현에서는 굵은 글씨들을 집중해서 살펴보세요. 특히 신경망의 계층을
OrderedDict
에 보
관하는 점이 중요합니다.
OrderedDict
은 순서가 있는 딕셔너리입니다. ‘순서가 있는’이란 딕
셔너리에 추가한 순서를 기억한다는 것이죠. 그래서 순전파 때는 추가한 순서대로 각 계층의
forward
( ) 메서드를 호출하기만 하면 처리가 완료됩니다. 마찬가지로 역전파 때는 계층을 반
대 순서로 호출하기만 하면 됩니다.
Affine
계층과
ReLU
계층이 각자의 내부에서 순전파와 역
전파를 제대로 처리하고 있으니, 여기에서는 그냥 계층을 올바른 순서로 연결한 다음 순서대로
(혹은 역순으로 ) 호출해주면 끝입니다.
이처럼 신경망의 구성 요소를 ‘계층’으로 구현한 덕분에 신경망을 쉽게 구축할 수 있었습니다.
‘계층’으로 모듈화해서 구현한 효과는 아주 큽니다. 예컨대
5
층,
10
층,
20
층, ...과 같이 깊은
신경망을 만들고 싶다면, 단순히 필요한 만큼 계층을 더 추가하면 되니까요(마치 레고 블록을
조립하듯 ).
이어서 다음 절에서는 각 계층 내부에 구현된 순전파와 역전파를 활용해 인식 처리와 학습에
필요한 기울기를 정확하게 구해보겠습니다. ...
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and much more.
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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.