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  • 1
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : dpunkt | Boston, MA : Safari
    Language: English , German
    Pages: 1 online resource (272 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Mit diesem praxisorientierten Buch meistern Sie die Methoden des Deep Learning, einer Teildisziplin des Machine Learning, die die Welt um uns herum verändert.Machen Sie sich mit PyTorch, dem populären Python-Framework von Facebook, vertraut, und lernen Sie Schlüsselkonzepte und neueste Techniken, um Ihre eigenen neuronalen Netze zu entwickeln. Ian Pointer zeigt Ihnen zunächst, wie Sie PyTorch in einer Cloud-basierten Umgebung einrichten. Er führt Sie dann durch die einzelnen Schritte der Entwicklung von neuronalen Architekturen, um praxisrelevante Anwendungen für Bilder, Ton, Text und andere Datenformate zu erstellen. Er erläutert auch das Transfer-Learning mit Bilddaten und das Debuggen der Modelle. Sie erfahren zudem, wie Sie Ihre Deep-Learning-Anwendungen in Docker-Containern und Kubernetes-Clustern in den Produktiveinsatz bringen.
    Note: Online resource; Title from title page (viewed September 4, 2020) , Mode of access: World Wide Web.
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (217 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local
    Abstract: Deep learning is changing everything. This machine learning method has already surpassed traditional computer vision techniques, and the same is happening with NLP. If you're looking to bring deep learning into your domain, this practical book will bring you up to speed on key concepts using Facebook's PyTorch framework. Once author Ian Pointer helps you set up PyTorch on a cloud-based environment, you'll learn how use the framework to create neural architectures for performing operations on images, sound, text, and other types of data. By the end of the book, you'll be able to create neural networks and train them on multiple types of data. Learn how to deploy deep learning models to production Explore PyTorch use cases in companies other than Facebook Learn how to apply transfer learning to images Apply cutting-edge NLP techniques using a model trained on Wikipedia
    Note: Online resource; Title from title page (viewed September 27, 2019)
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