December 2021
Intermediate to advanced
238 pages
6h 20m
German
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KAPITEL 2
Tensoren
Bevor wir tief in die Welt der PyTorch-Entwicklung eintauchen, ist es wichtig, sich mit der grundlegenden Datenstruktur in PyTorch vertraut zu machen: dem torch.Tensor. Wenn Sie den Tensor verstehen, werden Sie auch begreifen, wie PyTorch Daten verarbeitet und speichert, und da bei Deep Learning im Wesentlichen Gleitkommazahlen gesammelt und manipuliert werden, verstehen Sie ebenfalls, wie PyTorch anspruchsvollere Funktionen für Deep Learning implementiert. Darüber hinaus werden Sie häufig auf Tensoroperationen zurückgreifen, wenn Sie bei der Modellentwicklung Eingabedaten vorverarbeiten oder Ausgabedaten manipulieren.
Dieses Kapitel dient als Kurzreferenz, sodass Sie Tensoren verstehen und Tensorfunktionen in Ihrem Code implementieren ...
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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.