May 2018
Beginner to intermediate
672 pages
16h 54m
Korean
Content preview from 핸즈온 머신러닝: 사이킷런과 텐서플로를 활용한 머신러닝, 딥러닝 실무
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223
5
장
서포트 벡터 머신
힌지 손실
max
(
0
,
1
-
t
)
함수를 힌지 손실
hinge
loss
함수라고 부릅니다 (아래 그림 참조). 이 함수는
1≥t
일 때
0
입니다. 이 함수의 도함수(기울기)는
1<t
이면 -
1
이고
1>t
이면
0
입니다.
t
=
1
에서 미
분 가능하지 않지만, 라쏘 회귀 (
4
.
5
.
2
절 ‘라쏘 회귀’를 참조하세요)처럼
t
=
1
에서 서브그래디언
트를 사용해 경사 하강법을 사용할 수 있습니다 (즉,
-
1
과
0
사이의 값을 사용합니다
28
).
온라인 커널
SVM
을 구현하는 것도 가능합니다. 예를 들어
G
. 카웬버그스
G
.
Cauwenberghs
,
T
. 포
지오
T
.
Poggio
의 「
Incremental
and
Decremental
SVM
Learning
」(
http
://
goo
.
gl
/
JEqVui
,
2001
)이나
A
. 보드즈
A
.
Bordes
,
S
. 어테킨
S
.
Ertekin
,
J
. 웨스턴
J
.
Weston
,
L
. 보투
L
.
Bottou
의 「
Fast
Kernel
Classifiers
with
Online
and
Active
Learning
」(
https
://
goo
.
gl
/
hsoUHA
,
2005
)
을 사용할 수 있습니다. 그러나 이 방법들은 매트랩
Matlab
이나
C
++로 구현되어 있습니다. 대규
모의 비선형 문제라면 대신 신경망 알고리즘을 고려해보는 것이 좋습니다(
2
부 참조 ...
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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.