May 2020
Intermediate to advanced
576 pages
26h 55m
French
Content preview from Deep Learning avec Keras et TensorFlow
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6.9 Détection d’objets
257
© Dunod – Toute reproduction non autorisée est un délit.
• Le réseau est entraîné avec des images de tailles différentes. Tous les quelques
lots d’entraînement, il choisit aléatoirement une nouvelle dimension d’image
(de 330×330 à 608×608 pixels). Cela lui permet d’apprendre à détecter
des objets de taille variable. De plus, YOLOv3 peut alors être utilisé avec
différentes échelles. Une échelle plus petite sera moins précise mais plus rapide
que l’échelle plus grande. Vous pourrez choisir le bon compromis en fonction
de votre utilisation.
Quelques autres innovations pourraient vous intéresser, comme l’utilisation de ...
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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.