May 2020
Beginner to intermediate
952 pages
24h 11m
Korean
Content preview from 핸즈온 머신러닝(2판): 사이킷런, 케라스, 텐서플로 2를 활용한 머신러닝, 딥러닝 완벽 실무
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504
2
부
신경망과 딥러닝
이 장에서 데이터
API
,
TFRecord
포맷을 다루고 사용자 정의 전처리 층을 만드는 방법과 표
준 케라스 전처리 층을 사용하는 방법을 다룹니다. 또한 텐서플로 생태계에 있는 관련된 프로
젝트를 몇 가지 알아봅니다.
•
TF
변환 (
tf
.
Transform
)
(실행 속도를 높이기 위해 ) 훈련 전에 전체 훈련 세트에 대해 실행하는 전처리 함수를 작성할 수 있습니
다. 그다음 텐서플로 함수로 변환하고 상용 환경에 배포된 다음 훈련된 모델과 협업하여 새로운 샘플에 대
해 동적으로 전처리를 수행할 수 있습니다.
•
TF
데이터셋 (
TFDS
)
각종 데이터셋을 다운로드할 수 있는 편리한 함수를 제공합니다. 이미지넷과 같은 대용량 데이터셋도 포
함됩니다. 또한 데이터
API
로 조작할 수 있는 편리한 데이터셋 객체도 제공합니다.
13.1
데이터
API
전체적인 데이터
API
의 중심에는
데이터셋
dataset
개념이 있습니다. 쉽게 예상할 수 있듯이 이는
연속된 데이터 샘플을 나타냅니다. 일반적으로 디스크에서 데이터를 점진적으로 읽는 데이터
셋을 사용합니다. 하지만 간단히
tf
.
data
.
Dataset
.
from
_
tensor
_
slices
()
를 사용해 메모
리에서 전체 데이터셋을 생성해보겠습니다.
>>> X = tf.range(10)
# 샘플 데이터 텐서 ...
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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.