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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363
14
장
머신러닝을 위한 데이터 개인 정보 보호
라이브러리는 글로벌
DP
의 예입니다. 원시 데이터를 모델 학습에 사용할 수 있습니다.
세 번째는
PATE
Private
Aggregation
of
Teacher
Ensembles
접근법
45
입니다. 데이터 공유 시나리오는 다음
과 같습니다.
10
명의 사용자가 데이터를 라벨링했지만 여러분은 하지 않은 상황입니다. 여러
분의 데이터로
10
명이 각자 로컬에서 모델을 학습하고 그리고 각자 여러분의 데이터를 활용하
여 예측을 수행합니다. 그런 다음
DP
쿼리가 수행되어 데이터셋의 각 예제에 대한 최종 예측
을 생성하므로 여러분은
10
개 모델 중 어떤 모델이 예측했는지 알 수 없습니다. 새로운 모델은
이런 예측값을 통해 학습됩니다. 이 모델에는
10
개의 숨겨진 데이터셋의 정보가 있으며 숨겨
진 데이터셋의 정보를 알 수는 없습니다.
PATE
프레임워크는 이 시나리오에서
ϵ
를 어떻게 사
용하는지 보여줍니다.
14.3
텐서플로 개인 정보 보호 소개
텐서플로 개인 정보 보호
TensorFlow
Privacy
(
TFP
) (
https
://
oreil
.
ly
/
vlcIy
)는 모델 학습 중
옵티마이저에
DP
를 추가합니다.
TFP
에서 사용하는
DP
는 글로벌
DP
의 예입니다. 학습 중에
노이즈를 추가하여 모델의 예측에서 개인 데이터가 노출되지 않습니다. ...
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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.