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Neuronale Netze und Deep Learning kapieren -- Der einfache Praxiseinstieg mit Beispielen in Python
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Neuronale Netze und Deep Learning kapieren -- Der einfache Praxiseinstieg mit Beispielen in Python

by Andrew W. Trask
November 2019
Intermediate to advanced
360 pages
9h
German
mitp Verlag
Content preview from Neuronale Netze und Deep Learning kapieren -- Der einfache Praxiseinstieg mit Beispielen in Python

Kapitel 6: Das erste tiefe neuronale Netz: Einführung in Backpropagation

»Oh, Computer Deep Thought«, sagte er, »die Aufgabe, die wir uns für dich ausgedacht haben, ist die: Wir möchten, dass du uns ...«, er machte eine Pause, »... die Antwort sagst!«

– Douglas Adams, Per Anhalter durch die Galaxis

[Bild]In diesem Kapitel:

  • Das Ampelproblem

  • Matrizen

  • Vollständiger, Batch- und stochastischer Gradientenabstieg

  • Neuronale Netze erlernen eine Korrelation

  • Überanpassung

  • Erzeugen einer Korrelation

  • Backpropagation: Fehlerattribuierung

  • Linear kontra nichtlinear

  • Bedingte Korrelation

  • Das erste tiefe neuronale Netz

  • Backpropagation im Code: Fazit

6.1  Das Ampelproblem ...

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Publisher Resources

ISBN: 9783747500170