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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533
13
장
텐서플로에서 데이터 적재와 전처리하기
등장하므로 보통은 흥미로운 정보가 없지만 대부분의 텍스트에서 큰 값을 가집니다 (예를 들어
"
more
and
more
basketball
"
텍스트에서
"
basketball
"
는 자주 등장하는 단어가 아니기 때
문에 확실히 가장 중요한 단어입니다). 따라서 단어 카운트는 자주 등장하는 단어의 중요도를
줄이는 방향으로 정규화되어야 합니다. 자주 사용하는 방법은 전체 샘플 수를 단어가 등장하
는 훈련 샘플 개수로 나눈 로그를 계산한 후 단어 카운트와 곱하는 것입니다. 이런 기법은
TF
-
IDF
term
frequency
-
inverse
document
frequency
라고 부릅니다. 예를 들어
"
and
"
,
"
basketball
"
,
"
more
"
단어가 훈련 세트에서 각각
200
,
10
,
100
번 등장하고 전체 샘플 개수가
500
개라면 최종 벡터
는
[
1
*
log
(
1
+
500
/(
1
+
200
)),
0
*
log
(
1
+
500
/(
1
+
10
)),
2
*
log
(
1
+
500
/(
1
+
100
))]
가 되므로
약
[
1
.
25
,
0
.,
3
.
57
]
가 됩니다.
19
TextVectorization
층에
TF
-
IDF
옵션이 (아마도 ) 포함
될 것입니다.
NOTE
_
표준 전처리 층이 주어진 작업에 충분하지 않다면 앞서 만들었던
Standardization
클래스와 같 ...
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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.