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Getting Started with Google BERT
book

Getting Started with Google BERT

by Sudharsan Ravichandiran
January 2021
Beginner to intermediate content levelBeginner to intermediate
352 pages
10h 17m
English
Packt Publishing
Content preview from Getting Started with Google BERT
A Primer on Transformers

The transformer is one of the most popular state-of-the-art deep learning architectures that is mostly used for natural language processing (NLP) tasks. Ever since the advent of the transformer, it has replaced RNN and LSTM for various tasks. Several new NLP models, such as BERT, GPT, and T5, are based on the transformer architecture. In this chapter, we will look into the transformer in detail and understand how it works. 

We will begin the chapter by getting a basic idea of the transformer. Then, we will learn how the transformer uses encoder-decoder architecture for a language translation task. Following this, we will inspect how the encoder of the transformer works in detail by exploring each of the encoder components. ...

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Publisher Resources

ISBN: 9781838821593Supplemental Content