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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624
2
부
신경망과 딥러닝
에
2
개의 타임 스텝만 바라봅니다. 다음 층은
4
개의 타임 스텝을 보고 (즉 수용장 길이가
4
개의
타임 스텝이 됩니다), 다음은
8
개의 타임 스텝을 보는 식입니다(그림
15
-
11
). 이런 식으로
하위 층은 단기 패턴을 학습하고 상위 층은 장기 패턴을 학습합니다. 팽창 비율을 두 배로 늘린
덕분에 네트워크는 아주 긴 시퀀스를 매우 효율적으로 처리할 수 있습니다.
팽창 비율 8
팽창 비율 4
팽창 비율 2
팽창 비율 1
입력
그림
15-11
WaveNet
구조
25
WaveNet
논문에서 저자들은 실제로 팽창 비율이 각각
1
,
2
,
4
,
8
, …,
256
,
512
인 합성곱 층
10
개를 쌓았습니다. 그다음 (팽창 비율이
1
,
2
,
4
,
8
, …,
256
,
512
인) 동일한 층
10
개를 따
로 그룹지어 쌓았습니다. 이런 팽창 비율을 가진 합성곱 층
10
개가
1
,
024
크기의 커널 한 개로
이루어진 매우 효율적인 합성곱 층처럼 작동한다는 것을 보였습니다 (더 빠르고 강력하고 훨씬
적은 파라미터를 사용합니다 ). 이런 이유 때문에 이 블럭을
3
개 쌓았습니다. 각 층 이전의 팽창
비율과 동일한 개수
26
의
0
을 입력 시퀀스 왼쪽에 패딩으로 추가하여 네트워크를 통과하는 시퀀
스 길이를 동일하게 만들었습니다. 다음은 앞과 동일한 시퀀스를 처리하는 간단한 ...
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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.