September 2020
Intermediate to advanced
272 pages
7h 34m
German
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KAPITEL 3
Neuronale Konvolutionsnetze (CNNs)
Nachdem Sie mit den vollständig verbundenen neuronalen Netzen in Kapitel 2 experimentiert haben, sind Ihnen wahrscheinlich einige Dinge aufgefallen. Wenn Sie versucht haben, weitere Schichten hinzuzufügen oder die Anzahl der Parameter erheblich zu erhöhen, ging Ihnen mit ziemlicher Sicherheit der Speicherplatz auf Ihrer GPU aus. Außerdem dauerte es eine ganze Weile, bis die Genauigkeit einigermaßen akzeptabel war. Vor allem in Anbetracht des Hypes um Deep Learning wird Sie das Ergebnis wohl kaum in Jubelschreie versetzt haben.
Es stimmt zwar, dass ein vollständig verbundenes bzw. ein Feed-Forward-Netz als universaler Approximator funktionieren kann, doch die Theorie sagt nicht, wie lange Sie brauchen ...
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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.