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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694
2
부
신경망과 딥러닝
17.8
변이형 오토인코더
2014
년에 다이데릭 킹마
Diederik
Kingma
와 맥스 웰링
Max
Welling
이 또 다른 종류의 중요한 오토인코
더를 소개했습니다. 그리고 순식간에 가장 인기 있는 오토인코더 중 하나가 되었습니다. 바로
변이형 오토인코더
variational
autoencoder
15
입니다.
변이형 오토인코더는 다음과 같은 점에서 지금까지 다룬 오토인코더와 매우 다릅니다.
•
확률적
오토인코더
probabilistic
autoencoder
입니다. 즉, 훈련이 끝난 후에도 출력이 부분적으로 우연에 의해 결
정됩니다 (이와는 반대로 잡음 제거 오토인코더는 훈련 시에만 무작위성을 사용합니다 ).
•
무엇보다도
생성 오토인코더
generative
autoencoder
라는 점이 중요합니다. 마치 훈련 세트에서 샘플링된 것 같
은 새로운 샘플을 생성할 수 있습니다.
이런 두 속성이 변이형 오토인코더를
RBM
과 유사하게 만듭니다. 하지만 훈련이 더 쉽고 샘플
링 과정이 훨씬 빠릅니다(
RBM
에서는 새로운 샘플을 만들기 전에 네트워크가 ‘열평형’ 상태로
안정될 때까지 기다려야 합니다 ). 이름에서 알 수 있듯이 변이형 오토인코더는 (
9
장에서 소개
한) 효율적인 근사 베이즈 추론 방법인 변분 베이즈 추론
variational
Bayesian
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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.