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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219
8
장
텐서플로 서빙을 사용한 모델 배포
페이로드
gRPC
API
는
API
요청 데이터 구조로 프로토콜 버퍼를 사용합니다. 바이너리 프로토콜 버퍼
페이로드를 사용하면
API
요청은
JSON
페이로드보다 대역폭을 적게 사용합니다. 또한 모델
입력 데이터 구조에 따라
REST
엔드포인트에서처럼 예측이 더 빨라질 수 있습니다. 이는 제출
된
JSON
데이터가
tf
.
Example
데이터 구조로 변환되기 때문입니다. 이렇게 변환하면 모델
서버 추론이 느려질 수 있습니다.
gRPC
API
사례보다 추론이 느려질 수도 있습니다.
gRPC
엔드포인트에 제출된 데이터를 프로토콜 버퍼 데이터 구조로 변환해야 합니다. 텐서플
로는
tf
.
make
_
tensor
_
proto
라는 변환을 수행하는 편리한 유틸리티 기능을 제공합니다. 스칼
라, 목록, 넘파이 스칼라, 넘파이 배열 등 다양한 데이터 형식을 사용할 수 있습니다. 그런 다음
함수는 지정된 파이썬이나 넘파이 데이터 구조를 추론용 프로토콜 버퍼 형식으로 변환합니다.
8.12
텐서플로 서빙을 사용한
A
/
B
모델 테스트
A
/
B
테스트는 실제 상황에서 다양한 모델을 테스트하는 훌륭한 방법론입니다. 이 시나리오에
서는 일정 비율의 클라이언트가 모델 버전
A
에서 예측을 수신하고 다른 모든 요청은 모델 버전
B
에서 처리됩니다.
앞에서 텐서플로 ...
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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.