Jain | Introduction to Transformers for NLP | Buch | 978-1-4842-8843-6 | sack.de

Buch, Englisch, 165 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 283 g

Jain

Introduction to Transformers for NLP

With the Hugging Face Library and Models to Solve Problems
1. Auflage 2022
ISBN: 978-1-4842-8843-6
Verlag: Apress

With the Hugging Face Library and Models to Solve Problems

Buch, Englisch, 165 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 283 g

ISBN: 978-1-4842-8843-6
Verlag: Apress


Get a hands-on introduction to Transformer architecture using the Hugging Face library. This book explains how Transformers are changing the AI domain, particularly in the area of natural language processing.

This book covers Transformer architecture and its relevance in natural language processing (NLP). It starts with an introduction to NLP and a progression of language models from n-grams to a Transformer-based architecture. Next, it offers some basic Transformers examples using the Google colab engine. Then, it introduces the Hugging Face ecosystem and the different libraries and models provided by it. Moving forward, it explains language models such as Google BERT with some examples before providing a deep dive into Hugging Face API using different language models to address tasks such as sentence classification, sentiment analysis, summarization, and text generation.

After completing Introduction to Transformers for NLP, you will understand Transformer concepts and be able to solve problems using the Hugging Face library.


What You Will Learn
  • Understand language models and their importance in NLP and NLU (Natural Language Understanding)
  • Master Transformer architecture through practical examples
  • Use the Hugging Face library in Transformer-based language models
  • Create a simple code generator in Python based on Transformer architecture

Who This Book Is ForData Scientists and software developers interested in developing their skills in NLP and NLU (Natural Language Understanding)
Jain Introduction to Transformers for NLP jetzt bestellen!

Zielgruppe


Professional/practitioner


Autoren/Hrsg.


Weitere Infos & Material


Chapter 1: Introduction to Language Models.- Chapter 2: Introduction to Transformers.- Chapter 3: BERT.- Chapter 4: Hugging Face.- Chapter 5: Tasks Using the Huggingface Library.- Chapter 6: Fine-Tuning Pre-Trained Models.- Appendix A: Vision Transformers.


Shashank Mohan Jain has been working in the IT industry for around 20 years mainly in the areas of cloud computing, machine learning and distributed systems. He has keen interests in virtualization techniques, security, and complex systems. Shashank has software patents to his name in the area of cloud computing, IoT, and machine learning. He is a speaker at multiple reputed cloud conferences. Shashank holds Sun, Microsoft, and Linux kernel certifications.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.