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Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow, 2nd Edition
book

Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow, 2nd Edition

by Aurélien Géron
July 2020
Intermediate to advanced
852 pages
25h 44m
German
dpunkt
Content preview from Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow, 2nd Edition

ANHANG E

Weitere verbreitete Architekturen neuronaler Netze

In diesem Anhang möchten wir einen kurzen Überblick über einige historisch wichtige Architekturen neuronaler Netze geben, die heute deutlich seltener als mehrschichtige Perzeptrons (Kapitel 10), Convolutional Neural Networks (Kapitel 14), Recurrent Neural Networks (Kapitel 15) oder Autoencoder (Kapitel 17) eingesetzt werden. Sie werden aber häufig in der Fachliteratur erwähnt und in manchen Gebieten noch immer eingesetzt, sodass es sich lohnt, sie zu kennen. Wir werden außerdem Deep Belief Networks kennenlernen, die bis in die frühen 2010er der letzte Schrei waren. Sie werden noch immer sehr aktiv erforscht. Es ist daher möglich, dass sie in Zukunft zurückkehren, um sich zu rächen.

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Publisher Resources

ISBN: 9781098124588