Deep learning for natural language processing: a gentle introduction

Deep Learning is becoming increasingly important in a technology-dominated world. However, the building of computational models that accurately represent linguistic structures is complex, as it involves an in-depth knowledge of neural networks, and the understanding of advanced mathematical concepts...

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Bibliographische Detailangaben
Hauptverfasser: Surdeanu, Mihai (VerfasserIn), Valenzuela-Escárcega, Marco Antonio (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Cambridge Cambridge University Press 2024
Schlagworte:
Online-Zugang:DE-12
DE-634
DE-92
DE-473
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Zusammenfassung:Deep Learning is becoming increasingly important in a technology-dominated world. However, the building of computational models that accurately represent linguistic structures is complex, as it involves an in-depth knowledge of neural networks, and the understanding of advanced mathematical concepts such as calculus and statistics. This book makes these complexities accessible to those from a humanities and social sciences background, by providing a clear introduction to deep learning for natural language processing. It covers both theoretical and practical aspects, and assumes minimal knowledge of machine learning, explaining the theory behind natural language in an easy-to-read way. It includes pseudo code for the simpler algorithms discussed, and actual Python code for the more complicated architectures, using modern deep learning libraries such as PyTorch and Hugging Face. Providing the necessary theoretical foundation and practical tools, this book will enable readers to immediately begin building real-world, practical natural language processing systems
Beschreibung:Title from publisher's bibliographic system (viewed on 02 Feb 2024)
Beschreibung:1 Online-Ressource (xviii, 325 Seiten)
ISBN:9781009026222
DOI:10.1017/9781009026222

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