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Getting Started with Google BERT

You're reading from   Getting Started with Google BERT Build and train state-of-the-art natural language processing models using BERT

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Product type Paperback
Published in Jan 2021
Publisher Packt
ISBN-13 9781838821593
Length 352 pages
Edition 1st Edition
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Author (1):
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Sudharsan Ravichandiran Sudharsan Ravichandiran
Author Profile Icon Sudharsan Ravichandiran
Sudharsan Ravichandiran
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Table of Contents (15) Chapters Close

Preface 1. Section 1 - Starting Off with BERT
2. A Primer on Transformers FREE CHAPTER 3. Understanding the BERT Model 4. Getting Hands-On with BERT 5. Section 2 - Exploring BERT Variants
6. BERT Variants I - ALBERT, RoBERTa, ELECTRA, and SpanBERT 7. BERT Variants II - Based on Knowledge Distillation 8. Section 3 - Applications of BERT
9. Exploring BERTSUM for Text Summarization 10. Applying BERT to Other Languages 11. Exploring Sentence and Domain-Specific BERT 12. Working with VideoBERT, BART, and More 13. Assessments 14. Other Books You May Enjoy
Section 2 - Exploring BERT Variants

In this section, we will explore several interesting variants of BERT. We will learn about popular variants of BERT such as ALBERT, RoBERTa, ELECTRA, and SpanBERT. We will also explore BERT variants based on knowledge distillation, such as DistilBERT and TinyBERT.

The following chapters are included in this section:

  • Chapter 4, BERT Variants I – ALBERT, RoBERTa, ELECTRA, and SpanBERT
  • Chapter 5, BERT Variants II – Based on Knowledge Distillation
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