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 A
Ideale Verlustwerte
Wenn wir ein GAN trainieren, streben wir als Idealzustand ein Gleichgewicht zwischen dem Generator und dem Diskriminator an. Wird dieser Zustand erreicht, ist der Diskriminator nicht mehr in der Lage, echte Daten von generierten Daten zu unterscheiden. Denn der Generator hat dann gelernt, Daten zu erzeugen, die so aussehen, als stammten sie aus dem echten Datensatz.
Finden wir heraus, wie groß der Diskriminatorverlust sein sollte, wenn dieses Gleichgewicht erreicht ist. Wir werden das sowohl für den mittleren quadratischen Fehler als auch die binäre Kreuzentropie tun.
MSE-Verlust
Die Definition des Verlusts auf Basis des mittleren quadratischen Fehlers ist einfach: Die Differenz zwischen dem Wert, der aus einem Ausgabeknoten ...
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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.