August 2021
Beginner to intermediate
720 pages
15h 32m
Korean
Content preview from fastai와 파이토치가 만나 꽃피운 딥러닝
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576
3
딥러닝의 기반 지식
nn
.
Sequential
의 하위 클래스로 정의합니다(
expansion
인자는 다음 절에서 설명하므로 지
금은 신경 쓰지 마세요. 현재 해당 값은
1
이며, 아무 일도 하지 않습니다 ).
각 그룹의 블록 개수만 변경해주면 다양한 버전 (
ResNet
-
18
, -
34
, -
50
등)의 모델을 얻을
수 있습니다. 다음은
ResNet
-
18
을 정의하죠.
rn = ResNet(dls.c, [2,2,2,2])
약간 학습시킨 다음 직전 모델과 비교해보겠습니다.
learn = get_learner(rn)
learn.fit_one_cycle(5, 3e-3)
epoch train
loss valid
loss accuracy time
0 1
.
673882 1
.
828394 0
.
413758 00
:
13
1 1
.
331675 1
.
572685 0
.
518217 00
:
13
2 1
.
087224 1
.
086102 0
.
650701 00
:
13
3 0
.
900428 0
.
968219 0
.
684331 00
:
12
4 0
.
760280 0
.
782558 0
.
757197 00
:
12
채널이 더 많은데도 (따라서 모델이 훨씬 더 정확함 ), 최적화된 줄기 덕분에 이전만큼 학습이
빠르게 수행되었습니다.
계산을 너무 많이 하거나 메모리 자원을 과도하게 사용하지 않고도 더 깊은 모델을 만드는 방
법 중에는
50
개 이상의 ...
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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.