October 2017
Intermediate to advanced
240 pages
4h 54m
German
Content preview from Neuronale Netze - Grundlagen
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Kapitel 3: Mustererkennung durch ein Hopfield-Netz
John Joseph Hopfield stellte 1982 sein Modell eines Neuronalen Netzes vor. Auch er verwendet Elemente mit zwei Zuständen, nämlich 1 und –1. Damit sind, im Gegensatz zur Hebb-Formel (Formel 2) auch hemmende Elemente möglich.
Die sich ergebende Funktionalität solcher Netze sind sogenannte Assoziativspeicher, die – wie Sie sehen werden – sogar Bilder speichern und wiedererkennen können. Und zwar auch dann, wenn die Bilder teilweise verrauscht sind. Weiterhin haben sie die Möglichkeit, ähnliche Bilder wiederzuerkennen, weshalb sie sich auch gut zur Erkennung von handgeschriebenen Schriftzeichen eignen.
3.1 Der Assoziativspeicher
Wie beim Perzeptron legen wir dem Hopfield-Netz verschiedene ...
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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.