January 2017
Beginner to intermediate
312 pages
7h 3m
Korean
Content preview from 밑바닥부터 시작하는 딥러닝
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38
밑바닥부터 시작하는 딥러닝
>>>
x
=
np
.
array
([
1
.
0
,
2
.
0
,
3
.
0
])
>>>
x
/
2
.
0
array
([
0
.
5
,
1
.,
1
.
5
])
1.5.4
넘파이의
N
차원 배열
넘파이는
1
차원 배열 (
1
줄로 늘어선 배열 )뿐 아니라 다차원 배열도 작성할 수 있습니다. 예를
들어
2
차원 배열(행렬)은 다음처럼 작성합니다.
>>>
A
=
np
.
array
([[
1
,
2
],
[
3
,
4
]])
>>>
print
(
A
)
[[
1 2
]
[
3 4
]]
>>>
A
.
shape
(
2
,
2
)
>>>
A
.
dtype
dtype
('
int64
')
방금
2
×
2
의
A
라는 행렬을 작성했습니다. 행렬의 형상
*
은
shape
으로, 행렬에 담긴 원소의 자
료형은
dtype
으로 알 수 있습니다. 이어서 행렬의 산술 연산을 봅시다.
>>>
B
=
np
.
array
([[
3
,
0
],
[
0
,
6
]])
>>>
A
+
B
array
([[
4
,
2
],
[
3
,
10
]])
>>>
A
*
B
array
([[
3
,
0
],
[
0
,
24
]])
형상이 같은 행렬끼리면 행렬의 산술 연산도 대응하는 원소별로 계산됩니다. 배열과 마찬가지
로 말이죠. 행렬과 스칼라값의 산술 연산도 가능합니다. 이때도 배열과 마찬가지로 브로드캐스
트 기능이 작동합니다.
*
옮긴이_ 이 책에서는 행렬을 포함한
N
차원 배열에서 그 배열의 ‘각 차원의 크기 (원소 수)’를
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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.