August 2021
Beginner to intermediate
720 pages
15h 32m
Korean
Content preview from fastai와 파이토치가 만나 꽃피운 딥러닝
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513
13
합성곱 신경망
4
장에서는 이미지를 인식하는 신경망을 제작하는 방법을 배웠습니다. 숫자
3
과
7
을 구분할 때
98
% 이상의 정확도를 달성했으며,
fastai
가 제공하는 내장 클래스를 사용하면 정확도가
100
%
에 가까워짐을 확인했습니다. 이 둘 사이의 격차를 좁혀봅시다.
이 장은 합성곱의 개념을 배우고, 밑바닥부터
CNN
을 구현하는 내용으로 시작합니다. 그다음
학습의 안정성을 개선하는 다양한 기술을 배우고, 훌륭한 결과를 얻는 데
fastai
라이브러리가
공통으로 적용하는 모든 것을 배웁니다.
13.1
feature
engineering
은 머신러닝 실무자가 자유롭게 사용할 수 있는 매우 강력한 도구입니
다.
이란 모델링을 더 쉽게 할 수 있도록 고안된 데이터의 변환입니다. 가령
9
장에서 테이
블 데이터셋의 전처리에 사용한
add
_
datepart
함수는 데이터셋에 날짜 관련 특징을 추가했
습니다. 이미지로는 어떤 종류의 특징을 만들 수 있을까요?
NOTE
_
모델링을 더 쉽게 할 수 있도록 새로운 입력 데이터의 변환을 만듭니다.
CHAPTER
13
514
3
딥러닝의 기반 지식
이미지라는 맥락에서 특징은 시각적으로 구별되는 속성입니다. 예를 들어 숫자
7
은 숫자의 상
단 근처 수평선과 우측 상단에서 좌측 ...
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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.