September 2023
Beginner to intermediate
1044 pages
27h 52m
Korean
Content preview from 핸즈온 머신러닝(3판)
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575
13
장
텐서플로를 사용한 데이터 적재와 전처리
test_loss, test_accuracy = model.evaluate(test_set)
기술적인 내용이 많은 이 장을 마친 것을 축하합니다! 멋지게 보였던 추상화된 신경망 개념과
거리가 있다고 느꼈을지도 모릅니다. 하지만 딥러닝은 대량의 데이터를 다루는 경우가 많고 이
런 데이터를 효율적으로 적재, 파싱, 전처리하는 것이 아주 중요한 기술입니다. 다음 장에서는
이미지 처리와 그 외 많은 애플리케이션에서 가장 성공적으로 적용된 신경망 구조인 합성곱 신
경망을 알아보겠습니다.
연습문제
①
왜
tf
.
data
API
를 사용해야 하나요?
②
대용량 데이터셋을 여러 파일로 나누면 어떤 장점이 있나요?
③
훈련 과정에서 입력 파이프라인의 병목을 어떻게 찾을 수 있나요? 어떻게 병목 현상을 고
칠 수 있나요?
④
어떤 이진 데이터라도
TFRecord
파일 또는 직렬화된 프로토콜 버퍼로 저장할 수 있나요?
⑤
모든 데이터를
Example
프로토콜 버퍼 포맷으로 변환해야 하나요? 자신만의 프로토콜 버
퍼 정의를 사용하는 것은 어떤가요?
⑥
TFRecord
를 사용할 때 언제 압축을 사용하나요? 왜 기본적으로 압축을 사용하지 않나요?
⑦
데이터 파일을 작성할 때 또는
tf
.
data
파이프라인이나 모델의 전처리 층 안에서 데이터를
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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.