May 2018
Intermediate to advanced
447 pages
12h 11m
German
book
Deep Learning mit Python und Keras - Das Praxis-Handbuch vom Entwickler der Keras-Bibliothek
by Francois Chollet
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Kapitel 3: Einführung in neuronale Netze
Die Themen in diesem Kapitel:
Kernbestandteile neuronaler Netze
Erste Schritte mit Keras
Einrichtung eines Deep-Learning-Rechners
NNs für einfache Klassifizierungen und Regressionen verwenden
Dieses Kapitel soll Ihnen zeigen, wie Sie NNs zum Lösen praxisnaher Aufgaben einsetzen können. Sie werden das anhand des ersten praktischen Beispiels in Kapitel 2 gewonnene Wissen verfestigen und zum Lösen von drei neuen Aufgaben einsetzen, die zu den häufigsten Anwendungsfällen von NNs gehören: Binärklassifizierung, Mehrfachklassifizierung und skalare Regression.
Wir werden in diesem Kapitel die Kernbestandteile der in Kapitel 2 vorgestellten NNs eingehender betrachten: die Layer, die das NN bilden, sowie Zielfunktionen ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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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.