August 2020
Intermediate to advanced
472 pages
13h 13m
German
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11.4Klassifikation natürlicher Sprache mit vertrauten Netzwerken
In diesem Abschnitt verbinden wir Konzepte, die wir in diesem Kapitel eingeführt haben – die Vorverarbeitung natürlicher Sprache, die Erzeugung von Wortvektoren und die ROC-AUC-Metrik –, mit der Deep-Learning-Theorie aus vorangegangenen Kapiteln. Wie wir bereits früher angedeutet haben, wird das NLP-Modell, mit dem Sie im Rest dieses Kapitels experimentieren, ein Binärklassifikator sein, der vorhersagt, ob eine Filmkritik positiv oder negativ ist. Wir beginnen mit der Klassifikation natürlichsprachiger Dokumente mithilfe von neuronalen Netzen, die Ihnen bereits vertraut sind (vollständig verbundenen und Convolutional-Netzwerken), bevor wir uns Netzwerken zuwenden, die auf die Verarbeitung ...
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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.