April 2024
Intermediate to advanced
336 pages
3h 27m
Japanese
Content preview from ゼロから作るDeep Learning ❺ ―生成モデル編
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付録C階層型VAEの理論と実装✪
ここでは「階層型VAE」について説明します。ただし単純さを優先して、図C-1で表される2階層の潜在変数に限定して話を進めます。
図C-1 2階層VAEのモデル図
![[注記]](/api/v2/epubs/urn:orm:book:9784814400591/files/images/note.png) |
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以降の議論は潜在変数が |
C.1 2階層VAEの構成要素
図C-1の2階層VAEは、単純なVAEの場合と学習方法は同じです。どちらのケースもELBOを目的関数とします。復習になりますが、VAEのELBOは次の式で表されます。
2階層VAEのELBOは、上の式のにを代入することで得られます。数式では次のように表されます。
上の式のELBOには2つの確率分布——と——が登場します。それらは階層型VAEの確率の乗法定理とマルコフ性により、次のように分解して表すことができます。 ...
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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.
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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.