July 2020
Intermediate to advanced
852 pages
25h 44m
German
book
Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow, 2nd Edition
by Aurélien Géron
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KAPITEL 13
Daten mit TensorFlow laden und vorverarbeiten
Bisher haben wir nur Datensätze verwendet, die in den Speicher passen, aber Deep-Learning-Systeme werden häufig mit sehr großen Datensätzen trainiert, die nicht ins RAM passen. Das Aufnehmen und effiziente Vorverarbeiten eines großen Datensatzes kann mit anderen Deep-Learning-Bibliotheken nur mit Schwierigkeiten möglich sein, aber TensorFlow macht es dank seiner Data-API sehr einfach: Sie erstellen einfach ein Dataset-Objekt und teilen ihm mit, wo es die Daten findet und wie diese zu transformieren sind. TensorFlow kümmert sich um die ganzen Implementierungsdetails, wie zum Beispiel Multithreading, Queueing, Batching und Prefetching. Zudem arbeitet die Data-API nahtlos mit tf.keras zusammen! ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.