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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Anhang B: Jupyter-Notebooks auf einer EC2-GPU-Instanz ausführen
In diesem Anhang finden Sie eine schrittweise Anleitung zur Ausführung von Jupyter-Notebooks auf einer AWS-GPU-Instanz. Sie können die Notebooks in Ihrem Browser mit jedem beliebigen Rechner bearbeiten, sofern dieser über einen Internetzugang verfügt. Sollte Ihnen auf Ihrem lokalen Rechner keine GPU zur Verfügung stehen, können Sie dennoch Deep-Learning-Forschung betreiben. Unter https://blog.keras.io finden Sie eine kontinuierlich aktualisierte Version dieser Anleitung.
B.1 Was sind Jupyter-Notebooks? – Gründe, sie auf AWS-GPUs ausführen
Ein Jupyter-Notebook ist eine Webanwendung, die es ermöglicht, interaktiv Python-Code zu schreiben und zu kommentieren. Diese Notebooks sind hervorragend ...
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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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.