September 2020
Intermediate to advanced
216 pages
5h 7m
German
Content preview from GANs mit PyTorch selbst programmieren
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KAPITEL 5
Das GAN-Konzept
Bevor wir GANs eingehend untersuchen, wollen wir ein wenig den Rahmen abstecken.
Bilder generieren
Normalerweise verwenden wir neuronale Netze, um Informationen zu reduzieren, abzuleiten und zusammenzufassen. Der MNIST-Klassifizierer ist hierfür ein gutes Beispiel. Er übernimmt 784 Werte als Eingabe und gibt 10 Werte – eine viel kleinere Anzahl – aus.
Abbildung 5-1: Mit einem neuronalen Netz den Umfang von Daten reduzieren
Führen wir ein Gedankenexperiment durch. Wenn wir diese Netze von hinten nach vorne kippen, würden wir die Daten nicht reduzieren, sondern das Gegenteil bewirken, also kleinere Daten zu größeren Daten ...
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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.