Deep learning for natural language processing

• Verfasst von: Raaijmakers, Stephan [VerfasserIn]
• Titel: Deep learning for natural language processing
• Verf.angabe: Stephan Raaijmakers
• Verlagsort: [Shelter Island, New York]
• Verlag: Manning Publications
• E-Jahr: 2022
• Jahr: [2022]
• Umfang: 1 online resource (1 audio file)
• Fussnoten: Online resource; title from title details screen (O’Reilly, viewed September 24, 2024)
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Traitement automatique des langues naturelles
• Sach-SW: Traitement automatique de la parole
• Sach-SW: Apprentissage automatique
• Sach-SW: Audiobooks
• Sach-SW: Livres audio
• K10plus-PPN: 1903900980
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4585491015
• Lokale URL Inst.: Zum Volltext

Abstract

Deep Learning for Natural Language Processing teaches you how to create advanced NLP applications using Python and the Keras deep learning library. You’ll learn to use state-of the-art tools and techniques including BERT and XLNET, multitask learning, and deep memory-based NLP. Fascinating examples give you hands-on experience with a variety of real world NLP applications. Plus, the detailed code discussions show you exactly how to adapt each example to your own uses!