August 2021
Beginner to intermediate
720 pages
15h 32m
Korean
Content preview from fastai와 파이토치가 만나 꽃피운 딥러닝
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621
17
기초부터 만드는 신경망
이번 장은 지금껏 사용한 모델 내부를 깊이 파헤치는 과정의 시작입니다. 개념적으로는 중복되
는 내용이 많이 등장하지만, 특정 기술적 개념을 사용하는 이유와 방법보다 세부적인 구현 방
식에 집중합니다.
텐서의 기본 색인 기능만으로 신경망을 밑바닥부터 만들어 봅니다. 신경망의 기본 토대를 직접
만들고 역전파를 직접 구현하며
loss
.
backward
를 호출할 때 파이토치에서 일어나는 일을 정
확히 알아봅니다. 또한 파이토치를 확장하여 사용자 정의
autograd
함수를 만들어 여러
분만의 순전파와 역전파 계산을 정의하는 방법도 살펴봅니다.
17.1
우선 기본 신경망에서 행렬 곱셈이 사용되는 방식을 다시 이해해봅시다. 기초부터 만들어나가
기 때문에 처음에는 순수 파이썬만을 사용하고 (파이토치 텐서의 색인은 예외 ), 이후 구현한
내용을 파이토치로 대체하는 방식으로 내용을 진행합니다.
CHAPTER
17
622
4
밑바닥부터 구현하는 딥러닝
17.1.1
뉴런은 특정 개수의 입력을 수용하며, ...
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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.