February 2024
Intermediate to advanced
456 pages
12h 6m
French
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CHAPITRE 10 GAN avancés
Objectifs du chapitre :
• Découvrir comment un modèle ProGAN entraîne progressivement un GAN à générer des images en haute résolution.
• Comprendre comment ProGAN a été adapté pour créer StyleGAN, un GAN performant pour la synthèse d’images.
• Découvrir comment StyleGAN a été ajusté pour créer StyleGAN2, un modèle à la pointe de la technologie qui améliore encore l’ancienne version.
• Prendre connaissance des principales avancées de ces modèles, notamment l’entraînement progressif, l’AdaIN, la modulation et la démodulation des poids et la régularisation de la longueur du chemin.
• Découvrir l’architecture du modèle SAGAN (Self-Attention GAN), qui intègre le mécanisme d’attention dans le cadre théorique du GAN.
• Voir comment ...
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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.
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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.