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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176
살아 움직이는 머신러닝 파이프라인 설계
7.3.3
What
-
If
Tool
로 더 자세히 살펴보기
TFMA
및 공정성 지표로 데이터셋 슬라이스를 살펴본 후 구글의 다른 프로젝트인
What
-
If
Tool
(
WIT
)을 사용하여 더 자세히 알아볼 수 있습니다. 이를 통해 매우 유용한 시각화를 생성
하고 개별 데이터 지점을 조사할 수 있습니다.
모델과 데이터에
WIT
를 사용하는 방법은 여러 가지가 있습니다. 텐서보드를 통해(
https
://
oreil
.
ly
/
sZP5l
) 텐서플로 서빙으로 이미 배포된 모델이나
GCP
에서 실행 중인 모델을 분
석하는 데 사용할 수 있습니다.
Estimator
모델과 함께 직접 사용할 수도 있습니다.
하지만 우리 예제 프로젝트에서는 학습 예제 목록을 작성하고 이런 예제에 대한 모델의 예측을
반환하는 커스텀예측 모델
custom
prediction
function
을 작성하는 방법이 가장 간단합니다. 이렇게 하
면 독립형 주피터 노트북에 시각화를 로드할 수 있습니다.
WIT
는 다음과 같이 설치할 수 있습니다.
$ pip install witwidget
다음으로,
TFRecordDataset
을 생성하여 데이터 파일을 로드합니다. 학습 데이터
1
,
000
개를
샘플링하여
TFExamples
목록으로 변환합니다.
WIT
의 시각화는 이 정도 규모의 학습 ...
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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.