January 2018
Intermediate to advanced
576 pages
16h 23m
German
Content preview from Praxiseinstieg Machine Learning mit Scikit-Learn und TensorFlowBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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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 13), Recurrent Neural Networks (Kapitel 14) oder Autoencoder (Kapitel 15) eingesetzt werden. Sie werden aber häufig in der Fachliteratur erwähnt und werden in manchen Gebieten noch immer eingesetzt, sodass es sich lohnt, sie zu kennen. Wir werden außerdem Deep Belief Nets (DBNs) 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 naher Zukunft zurückkehren, um sich ...
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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.