January 2018
Intermediate to advanced
576 pages
16h 23m
German
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KAPITEL 12
TensorFlow über mehrere Geräte und Server verteilen
In Kapitel 11 haben wir mehrere Techniken erwähnt, die das Trainieren erheblich beschleunigen können: bessere Initialisierung der Gewichte, Batch-Normalisierung, ausgefeilte Optimierer und so weiter. Allerdings kann das Trainieren eines großen neuronalen Netzes auf einem einzelnen Computer mit einer einzelnen CPU trotz dieser Techniken Tage oder sogar Wochen dauern.
In diesem Kapitel werden wir uns ansehen, wie sich Berechnungen mit TensorFlow auf mehrere Geräte (CPUs und GPUs) verteilen und parallel ausführen lassen (siehe Abbildung 12-1). Zuerst werden wir Berechnungen auf mehrere Recheneinheiten im gleichen Computer verteilen, anschließend auf mehrere Geräte auf mehreren Computern. ...
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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.