September 2020
Intermediate to advanced
216 pages
5h 7m
German
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KAPITEL 9
Convolutional GANs
In diesem Kapitel werden wir das CelebA-GAN, das wir gerade entwickelt haben, verbessern, und zwar aus zwei Gründen:
- Die vom GAN generierten Bilder sehen verwaschen aus. Die Bereiche, die unserer Erwartung nach ziemlich durchgehend gefärbt sein sollten, werden von einem kontrastreichen Pixelmuster überdeckt.
- Der Speicherbedarf vollständig verbundener neuronaler Netze ist immens. Selbst mäßig große Bilder oder Netze stoßen bald an die Grenze unserer GPU und verhindern ein Training. Die meisten Consumer-GPUs besitzen einen erheblich geringeren Arbeitsspeicher als die vom Google-Colab-Dienst bereitgestellten Tesla T4 oder P100.
Speicherbedarf
Bevor wir eine neue GAN-Technik erforschen, wollen wir überprüfen, wie viel ...
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