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 3 Autoencodeurs variationnels
Objectifs du chapitre :
• Découvrir comment la conception architecturale des autoencodeurs les rend parfaitement adaptés à la modélisation générative.
• Construire et entraîner un autoencodeur en partant de zéro avec Keras.
• Utiliser des autoencodeurs pour générer de nouvelles images, tout en comprenant les limites de cette approche.
• Découvrir l’architecture de l’autoencodeur variationnel et la manière dont il résout de nombreux problèmes associés aux autoencodeurs standard.
• Créer un autoencodeur variationnel en partant de zéro grâce à Keras.
• Employer des autoencodeurs variationnels pour générer de nouvelles images.
• Utiliser des autoencodeurs variationnels pour manipuler les images générées grâce ...
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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.