February 2024
Intermediate to advanced
456 pages
12h 6m
French
Content preview from Deep learning génératifBecome 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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CHAPITRE 6 Modèles de flux de normalisation
Objectifs du chapitre :
• Découvrir comment les modèles de flux de normalisation utilisent l’équation de changement de variables.
• Voir comment le déterminant jacobien joue un rôle essentiel dans notre capacité à calculer une fonction de densité explicite.
• Comprendre comment nous pouvons restreindre la forme du jacobien à l’aide de couches de couplage.
• Voir comment le réseau de neurones est conçu pour être inversé.
• Construire un modèle RealNVP, qui un exemple particulier de flux de normalisation pour générer des points en 2D.
• Utiliser le modèle RealNVP pour générer de nouveaux points qui semblent avoir été extraits de la distribution des données.
• Découvrir deux extensions clés du modèle RealNVP, ...
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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.