Ravichandiran Getting Started with Google BERT

Build and train state-of-the-art natural language processing models using BERT
1. Auflage 2021
ISBN: 978-1-83882-623-9
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 352 Seiten

No detailed description available for "Getting Started with Google BERT".

Autoren/Hrsg.

Ravichandiran, Sudharsan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen

Inhaltsverzeichnis

Table of Contents - A Primer on Transformer Model
- Understanding the BERT Model
- Getting Hands-On with BERT
- BERT variants I - ALBERT, RoBERTa, ELECTRA, and SpanBERT
- BERT variants II - Based on knowledge distillation
- Exploring BERTSUM for Text Summarization
- Applying BERT for Other Languages
- Exploring Sentence and Domain Specific BERT
- Working with VideoBERT, BART, and more

Über Autor(innen)

Ravichandiran Sudharsan:

Sudharsan Ravichandiran is a data scientist and artificial intelligence enthusiast. He holds a Bachelors in Information Technology from Anna University. His area of research focuses on practical implementations of deep learning and reinforcement learning including natural language processing and computer vision. He is an open-source contributor and loves answering questions on Stack Overflow.