January 2017
Beginner to intermediate
312 pages
7h 3m
Korean
Content preview from 밑바닥부터 시작하는 딥러닝
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113
4
장
-
신경망 학습
다. 이처럼 한 원소만
1
로 하고 그 외는
0
으로 나타내는 표기법을
원-핫 인코딩
이라 한다고 했습
니다.
자, 평균 제곱 오차는 [식
4
.
1
]과 같이 각 원소의 출력 (추정 값 )과 정답 레이블 (참 값 )의 차(
y
k
-
t
k
)를 제곱한 후, 그 총합을 구합니다. 그러면 이 평균 제곱 오차를 파이썬으로 구현해봅시다.
def mean
_
squared
_
error
(
y
,
t
):
return 0
.
5
*
np
.
sum
((
y
-
t
)**
2
)
여기에서 인수
y
와
t
는 넘파이 배열입니다. 이 코드는 [식
4
.
1
]을 그대로 구현한 것이니 설명은
생략합니다. 그러면 이 함수를 실제로 사용해보죠.
>>>
# 정답은 '2'
>>>
t
=
[
0
,
0
,
1
,
0
,
0
,
0
,
0
,
0
,
0
,
0
]
>>>
>>>
# 예
1
：
'
2
'
일 확률이 가장 높다고 추정함
（
0
.
6
）
>>>
y
=
[
0
.
1
,
0
.
05
,
0
.
6
,
0
.
0
,
0
.
05
,
0
.
1
,
0
.
0
,
0
.
1
,
0
.
0
,
0
.
0
]
>>>
mean
_
squared
_
error
(
np
.
array
(
y
),
np
.
array
(
t
))
0
.
097500000000000031
>>>
>>>
# 예
2
：
'
7
'
일 확률이 가장 높다고 추정함
（
0
.
6
）
>>>
y
=
[
0
.
1
,
0
.
05
,
0
.
1
,
0
.
0
,
0
.
05
,
0
.
1
,
0
.
0
,
0
.
6
,
0
.
0
,
0
.
0
]
>>> ...
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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.