September 2023
Beginner to intermediate
1044 pages
27h 52m
Korean
Content preview from 핸즈온 머신러닝(3판)
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973
부록 D
특수한 데이터 구조
D.2
래그드 텐서
래그드 텐서는 크기가 다른 배열의 리스트를 표현하는 특별한 종류의 텐서입니다. 더 일반적으
로 말하면 하나 이상의
래그드 차원
ragged
dimension
을 가진 텐서입니다. 래그드 차원은 길이가 달
라지는 차원입니다. 래그드 텐서
r
에서 두 번째 차원이 래그드 차원입니다. 모든 래그드 텐서
에서 첫 번째 차원은 일반적인 차원 (
균일 차원
uniform
dimension
이라고도 부릅니다 )입니다.
래그드 텐서
r
의 모든 원소는 일반 텐서입니다. 래그드 텐서의 두 번째 원소를 확인해보죠.
>>> r[1]
<tf.Tensor: [...], numpy=array([ 67, 111, 102, 102, 101, 101], dtype=int32)>
tf
.
ragged
패키지에 래그드 텐서를 만들고 조작할 수 있는 여러 함수가 있습니다.
tf
.
ragged
.
constant
()
함수를 사용해 두 번째 래그드 텐서를 만들고 첫 번째 래그드 텐서에
0
번
째 축으로 연결해보죠.
>>> r2 = tf.ragged.constant([[65, 66], [], [67]])
>>> tf.concat([r, r2], axis=0)
<tf.RaggedTensor [[67, 97, 102, 233], [67, 111, 102, 102, 101, ...
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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.