Natural language processing

• Titel: Natural language processing
• Titelzusatz: transformers with Hugging Face
• Institutionen: Lazy Programmer (Firm), [MitwirkendeR]
• Institutionen: Packt Publishing, [Verlag]
• Ausgabe: [First edition].
• Verlagsort: [Birmingham, United Kingdom]
• Verlag: Packt Publishing
• E-Jahr: 2024
• Jahr: [2024]
• Umfang: 1 online resource (1 video file (3 hr., 54 min.))
• Illustrationen: sound, color.
• Fussnoten: Online resource; title from title details screen (O'Reilly, viewed July 1, 2024)
• ISBN: 978-1-83620-067-3
• ISBN: 1-83620-067-6
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Traitement automatique des langues naturelles
• Sach-SW: Python (Langage de programmation)
• Sach-SW: Apprentissage automatique
• Sach-SW: Instructional films
• Sach-SW: Nonfiction films
• Sach-SW: Internet videos
• Sach-SW: Films de formation
• Sach-SW: Films autres que de fiction
• Sach-SW: Vidéos sur Internet
• K10plus-PPN: 1899109145
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4568072638
• Lokale URL Inst.: Zum Volltext

Abstract

This course begins with a warm welcome and an overview of the curriculum, setting the stage for an exciting journey into the world of Natural Language Processing (NLP). The initial section ensures you are well-prepared, guiding you on how to access the necessary code and providing tips for succeeding in the course. We delve deep into the realm of Transformers, starting from the basics of Recurrent Neural Networks (RNNs) and advancing to the attention mechanisms that power modern NLP models. The course covers a wide range of practical applications, including sentiment analysis, text generation, embeddings, semantic search, and named entity recognition. Each concept is paired with hands-on Python tutorials, enabling you to implement these techniques in real-world scenarios. By the end of this course, you will have a solid understanding of various NLP tasks and how to approach them using Hugging Face's powerful library. Whether you are analyzing sentiment, summarizing text, or translating languages, this course equips you with the skills to tackle these challenges efficiently. The comprehensive coverage ensures you gain both theoretical knowledge and practical experience, making you proficient in applying Transformers to solve complex NLP problems.