October 2021
Beginner to intermediate
416 pages
9h 3m
Korean
Content preview from 살아 움직이는 머신러닝 파이프라인 설계: 텐서플로와 함께하는 머신러닝 프로젝트 자동화
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366
살아 움직이는 머신러닝 파이프라인 설계
NOTE
_
TFP
는 텐서플로
1
.
X
만 지원합니다
깃허브 저장소에서는 이전 장의 예제 프로젝트들을
DP
모델로 변환하는 방법을 보여줍니다.
6
장의
get
_
model
함수에 차등 개인 옵티마이저를 추가합니다. 그러나
TFP
가 텐서플로
2
.
X
를 지원할 때까지 이 모델을
TFX
파이프라인에서 사용할 수 없습니다.
계산의 최종 결과물인 엡실론값은 특정 모델이 개인 정보 보호를 보장하는 강도를 알려줍니다.
그런 다음 앞에서 설명한
L2
표준 클립과 노이즈 승수 하이퍼파라미터를 변경하면 엡실론과 모
델 정확도에 어떤 영향을 미치는지 살펴볼 수 있습니다. 다른 모든 값을 고정한 상태로 이 두
하이퍼파라미터의 값을 증가시키면 엡실론이 감소합니다 (따라서 개인 정보 보호가 강화됩니
다). 어느 시점부터는 정확도가 떨어지기 시작하고 모델이 유용하지 않게 됩니다. 이런 절충을
통해 유용한 모델 정확성을 유지하면서 가능한 한 개인 정보를 가장 강력하게 보호할 수 있습니다.
14.4
연합 학습
연합 학습
Federated
Learning
(
FL
)은 머신러닝 모델을 여러 기기에 분산해서 학습하고, 훈련된 모델
을 중앙 서버에서 결합하는 프로토콜입니다. 핵심은 원시 데이터가 별도의 장치를 떠나지 않고
한 곳에 풀링되지 않는다는 점입니다. 이는 ...
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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.