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PyTorch für Deep Learning
book

PyTorch für Deep Learning

by Ian Pointer
September 2020
Intermediate to advanced
272 pages
7h 34m
German
dpunkt
Content preview from PyTorch für Deep Learning

KAPITEL 5

Textklassifizierung

Wir lassen die Bildverarbeitung vorerst hinter uns und richten unserer Augenmerk auf einen anderen Bereich, bei dem sich Deep Learning als ein bedeutender Fortschritt gegenüber traditionellen Techniken erwiesen hat: Natural Language Processing (NLP), d.h. die Verarbeitung natürlicher Sprache. Ein gutes Beispiel hierfür ist Google Translate. Ursprünglich handelte es sich bei dem Code zur Übersetzung um einen mächtigen, 500.000 Zeilen umfassenden Code. Das neue auf TensorFlow basierende System hat nur ca. 500 Zeilen Code und ist leistungsfähiger als die alte Version.

In letzter Zeit gab es darüber hinaus bahnbrechende Entwicklungen, bei denen Transfer Learning (das Sie in Kapitel 4 kennengelernt haben) für Aufgabenstellungen ...

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Publisher Resources

ISBN: 9781098125899