August 2021
Beginner to intermediate
720 pages
15h 32m
Korean
Content preview from fastai와 파이토치가 만나 꽃피운 딥러닝
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433
10
NLP 깊게 알아보기: 순환 신경망
특수 토큰이 가장 먼저 나온 다음 빈도 순서대로 다른 토큰이 나열됩니다. 디폴트로
Numericalize
는
min
_
freq
=
3
,
max
_
vocab
=
60000
인잣값을 설정합니다.
max
_
vocab
=
60000
은 가장 일반적인 단어
60
,
000
개를 제외한 나머지를 모두
을 뜻하는 특수 토큰
(
xxunk
)
으로 교체하라는 뜻입니다. 지나치게 큰 임베딩 행렬을 방지하는 데 유용하죠. 이로써
메모리를 적게 사용하고 학습 속도가 빨라지며, 충분한 데이터가 부족하여 드물게 등장하는 단
어에서 무언가를 학습하려는 상황을 제어할 수 있습니다.
fastai
는
vocab
인자에 직접 토큰 목록을 넣어서 수치화하는 방식도 지원합니다.
Numericalize
객체를 생성했다면, 다음과 같이 객체를 함수처럼 사용할 수 있습니다.
>>> nums = num(toks)[:20]; nums
tensor([ 2, 8, 21, 28, 11, 90, 18, 59, 0, 45, 9, 351, 499, 11,
> 72, 533, 584, 146, 29, 12])
각 토큰을 모델에 입력할 수 있는 정숫값으로 구성된 텐서로 변환했습니다. 다음은 변환한 내
용을 다시 텍스트로 역변환하여 텍스트와 정숫값 사이의 매핑이 제대로 이루어졌는지를 ...
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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.