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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
BERT Variants I - ALBERT, RoBERTa, ELECTRA, and SpanBERT

In this chapter, we will understand different variants of BERT, such as ALBERT, RoBERTa, ELECTRA, and SpanBERT. We will start with understanding how ALBERT works. ALBERT is basically A Lite version of BERT model. The ALBERT model includes few architectural changes to the BERT to minimize the training time. We will cover how ALBERT works and how it differs from BERT in detail.

Moving on, we will learn about the RoBERTa model, which stands for a Robustly Optimized BERT pre-training Approach. RoBERTa is one of the most popular variants of the BERT and it is used in many state-of-the-art systems. RoBERTa works similar to BERT but with a few changes in the pre-training steps. We will explore how RoBERTa works and how it differs from the BERT model in detail.

Going ahead, we will learn about the ELECTRA model, which stands for...

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