August 2021
Beginner to intermediate
720 pages
15h 32m
Korean
Content preview from fastai와 파이토치가 만나 꽃피운 딥러닝
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245
4
숫자 분류기의 학습 내부 들여다보기
그레이디언트 모델의 일부 파라미터에 대한 손실을 미분한 값입니다.
역전파 모델의 모든 파라미터에 대한 손실의 그레이디언트를 계산하는 과정입니다.
경사 하강
모델의 파라미터를 약간 더 좋게 만들려고 그레이디언트의 반대 방향으로 나아가는 한 번의 단
계입니다.
학습률
SGD
를 적용하여 모델의 파라미터가 갱신되어야 하는 크기입니다.
NOTE
_
내부적인 일이 궁금해서
2
,
3
장을 건너뛰고
4
장을 먼저 읽으셨나요? 그렇다면
2
장으로 돌아가기 바랍니다.
곧
2
,
3
장의 내용이 필요하기 때문입니다!
4.9
1
컴퓨터는 흑백 이미지를 어떻게 표현하나요? 컬러 이미지는 어떻게 표현하나요?
2
MNIST
_
SAMPLE
데이터셋의 파일과 폴더는 어떻게 구성되나요? 이렇게 구성된 이유는 무엇일까요?
3
‘픽셀 유사도’ 접근법이 숫자를 분류하는 방식을 설명해보세요.
4
리스트 컴프리헨션이란 무엇인가요? 리스트에서 홀수를 선택한 다음 두 배 증가시키는 리스트 컴프리헨션
을 만들어 보세요.
5
랭크
3
텐서란 무엇인가요?
6
텐서의 랭크와 모양은 어떻게 다른가요? 모양에서 랭크를 어떻게 구할 수 있나요?
7
RMSE
와
L1
노름은 무엇인가요?
8
파이썬의 반복문보다 수천 배 빠르게 ...
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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.