September 2024
Beginner to intermediate
364 pages
8h 27m
Korean
Content preview from 머신러닝 인터뷰 실무 가이드
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167
CHAPTER 03
기술 인터뷰: 머신러닝 알고리즘
으로 사용할 수 있으며, 이미지는 행렬 (입력 피처 맵 )로 표현되기 때문에 이미지 인식과 같
은 작업에 특히 효과적입니다. 입력은 이후 네트워크의 다양한 합성곱 계층을 통해 합성곱
convoluted
처리되며, 이 과정에서 이미지의 행렬 표현에서 정보가 추출되고 이미지에 대한 더
세밀한 정보를 포착하는 새로운 피처가 생성됩니다. 또한 합성곱은 이미지 정보를 평탄화하
고 압축함으로써 계산을 효율적으로 만듭니다.
Maxpool Conv2d
+ReLU
Conv2d
+ReLU
Maxpool
입력
완전 연결
완전 연결
합성곱 모듈#
1
합성곱 모듈#
2
분류
출력: 개?
(
y
/
n
)
그림
3-16
CNN
이 개 이미지를 입력받아 행렬 형태로 변환합니다. 이어서 두 개의 합성곱 모듈이 유용한 피처들을 추
출하며, 이 피처들은 마지막 두 개의 완전 연결 계층으로 전달되어 이미지가 개인지 아닌지를 예측합니다. 개 이미지는
구글의 “머신러닝 실습: 이미지 분류(
https
://
oreil
.
ly
/
I3yeL
)”에서 가져왔습니다.
전이 학습 요약
컴퓨터 비전 과업의 경우, 온라인에서 다양한 사전 학습된 모델을 찾을 수 있습니다. 이 모델
들은 이미지 분류 작업과 같은 일반적인 작업에 대해 조정되고 튜닝되었습니다. 이 모델들을
처음부터 학습시키는 데에는 시간과 ...
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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.