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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371
14
장
머신러닝을 위한 데이터 개인 정보 보호
@tfe.local_computation
TFE
에서 모델 학습 코드를 작성하는 작업은 일반 케라스 모델과 거의 동일합니다.
tf
를
tfe
로 대체하기만 하면 됩니다.
import
tf_encrypted
as
tfe
model = tfe.keras.Sequential()
model.add(tfe.keras.layers.Dense(1, batch_input_shape=[batch_size, num_features]))
model.add(tfe.keras.layers.Activation(‘sigmoid’))
인수
batch
_
input
_
shape
는
Dense
가 있는 첫 번째 레이어에 주어져야 한다는 점만 다릅니다.
관련 작업 예제는
TFE
설명서 (
https
://
oreil
.
ly
/
ghGnu
)에 있습니다. 이 책을 집필할 당
시, 일반 케라스의 모든 기능이
TFE
에 포함되지 않았기 때문에 본 예제 프로젝트를 이 형식으
로 보여줄 수는 없습니다.
14.5.2
암호화된 예측을 처리하도록 훈련된 모델 변환하기
암호화된 예측을 처리하도록 훈련된 모델 변환
TFE
는 일반 텍스트 데이터로 학습을 받은 암호
화된 모델을 서비스할 때도 유용합니다. 이때 [그림
14
-
5
]와 같이 암호화되지 않은 학습 데이
터에 완전히 액세스할 수 있지만 ...
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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.