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Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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ステップ10拡散モデルの応用
拡散モデルを使った代表的なアプリケーションには、Stable DiffusionやMidjourneyなどがあります。それらはテキストから画像を生成するサービスであり、「条件付き拡散モデル」によって実現できます。本ステップでは「条件付き拡散モデル」の原理を学び、その実装を行います。また、Stable Diffusionなどの最先端の画像生成AIがどのような要素技術を使っているかについても説明します。
10.1 条件付き拡散モデル
これまで私たちはデータ
の確率である
をモデル化してきました。しかし実用的には、条件付き確率である
をモデル化することのほうが望まれます（ここで
は条件を表します）。をモデル化できれば、条件によって、生成したいをコントロールできます。
条件には、テキスト、画像、ラベルなどが考えられます。たとえば、 ...
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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.