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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169
4
장
모델 훈련
인가?’와 같은 질문입니다. 그리고 같은 질문을 북쪽에 대해서도 합니다(
3
차원 이상의 세상이
라 가정하면 다른 모든 차원에 대해서도 반복합니다 ). [식
4
-
5
]는 파라미터
θ
j
에 대한 비용 함
수의 편도함수
)
(
θ
θ
MSE
j
∂
∂
입니다.
식
4-5
비용 함수의 편도함수
12
( )
∑
=
−=
∂
∂
m
i
i
j
iiT
j
xyx
m
MSE
1
2
)(
)()(
)(
θ
θ
θ
편도함수를 각각 계산하는 대신 [식
4
-
6
]을 사용하여 한꺼번에 계산할 수 있습니다. 그레이디
언트 벡터
)(
θ
θ
MSE∇
는 비용 함수의 (모델 파라미터마다 한 개씩인) 편도함수를 모두 담고
있습니다.
13
식
4-6
비용 함수의 그레이디언트 벡터
)(
)(
MSE
)(
MSE
)(
MSE
)(
MSE
y
m
T
−=
∂
∂
∂
∂
∂
∂
=
∇
θ
θ
θ
θ
θ
θ
θ
θ
θ
XX
2
1
0
n
CAUTION_
이 공식은 매 경사 하강법 스텝에서 전체 훈련 세트
X
에 대해 계산합니다! 그래서 이 알고리즘
을
배치 경사 하강법
batch
gradient
descent
이라고 합니다. 즉, 매 스텝에서 훈련 데이터 전체를 사용합니다(사실
전체 경사 하강법
full
gradient
descent
이 더 적절한 이름 같습니다). 이런 이유로 매우 큰 훈련 세트에서는 아주 느
립니다(잠시 후에 훨씬 빠른 경사 하강법 알고리즘을 볼 것입니다). ...
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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.