September 2020
Intermediate to advanced
216 pages
5h 7m
German
Content preview from GANs mit PyTorch selbst programmierenBecome 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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ANHANG D
Instabiles Lernen
Gradientenabstieg – für das Training von GANs geeignet?
Beim Training von neuronalen Netzen suchen wir mit dem Gradientenabstieg einen Pfad entlang einer Verlustfunktion, um die Kombination von lernbaren Parametern zu finden, die den Fehler minimieren. Dies ist ein gut erforschter Bereich, und die heutigen Techniken sind sehr ausgereift. Ein gutes Beispiel ist der Adam-Optimierer.
Das dynamische Verhalten eines GAN unterscheidet sich von einem einfachen neuronalen Netz. Die Netze von Generator und Diskriminator versuchen, gegensätzliche Ziele zu erreichen. Es gibt Parallelen zwischen einem GAN und Konfliktspielen, bei denen der eine Spieler versucht, ein Ziel zu maximieren, während der andere darauf aus ist, das Ziel ...
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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.