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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155
6
장
모델 학습
6.6
요약
이 장에서는 모델 학습을 독립 실행형 스크립트에서 파이프라인의 통합 부분으로 전환하는 방
법을 설명했습니다. 즉, 새 데이터가 파이프라인에 도착하는 즉시 또는 이전 모델의 정확도가
사전 정의된 수준 아래로 떨어질 때처럼 원하는 시점에 자동화된 프로세스를 실행할 수 있습니
다. 또한 모델과 데이터 전처리 단계를 함께 저장하여 전처리와 학습 간의 불일치에서 비롯하
는 오류를 방지하는 방법도 알아봤습니다. 또한 모델 학습을 배포하고 하이퍼파라미터를 조정
하는 전략도 다뤘습니다.
이제 저장된 모델을 확보했으니, 다음 단계로 모델이 할 수 있는 작업을 자세히 살펴보겠습니다.
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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.