December 2021
Intermediate to advanced
238 pages
6h 20m
German
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KAPITEL 3
Deep-Learning-Entwicklung mit PyTorch
Nachdem Sie nun Ihre Entwicklungsumgebung zum Laufen gebracht und sich mit Tensoren und ihren Operationen vertraut gemacht haben, können wir beginnen, Deep-Learning-Modelle mit PyTorch zu entwickeln und bereitzustellen. Dieses Kapitel dient als Kurzreferenz für den grundlegenden Entwicklungsprozess von neuronalen Netzen und den zur Ausführung benötigten Code.
Zuerst sehen wir uns den Gesamtprozess an und tauchen dann in jede Phase tiefer ein. Dabei lernen Sie auch anhand einiger PyTorch-Codebeispiele, wie Sie die einzelnen Funktionen implementieren. Wir bauen auf dem auf, was Sie in Kapitel 2 gelernt haben, um Ihre Daten in Tensoren zu laden und Datentransformationen anzuwenden, die Ihre Tensoren ...
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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.