Getting Started with Google BERT

This is best book for advance NLP tasks. BERT is not more complex … recommended for NLP developers

The amount of in-depth information compiled about BERT and its varients in this book is quite astonishing. The content is top-notch with great visual explanations. Encoders and decoders are very hard to explain. In this book encoder and decoder chapters are peaches, they are explained with absolute perfection. The range of BERT variants in this book is mind-blowing, the book contains BERT, ALBERT, RoBERTa, DistilBERT, TInyBERT, BERTSUM, etc. My favorite BERT models are XLM-R, Sentence BERT, and VideoBERT. The author explains each and every concept with ease. I personally felt very happy to have purchased and read the book. I thank the author for writing such a gem of a book. If you looking for a book to strengthen your knowledge of NLP, Deep Learning, BERT this is the go-to book. Hope my suggestion helps.

The book explains transformers and BERT in very detail. I’m awestruck with the way the author have explained the concepts in a seamlessly simple way possible. I really loved the narrative style of the book.I can’t believe someone explained BERT with so much of in-depth detail. The book covers lot of things which I was never aware of and many different types of BERT like tinyBERT, ELECTRA, Multilingual BERT, XLM-R, and many others. If you are not getting this then definitely you are missing out a greatest content on BERT ever.

I like the excellent explanation of the BERT model. It is very useful for applying it to my NLP research project on Gujarati language.

Description are very well written but code implementation is ambiguous. Too much price of the book

This book is super easy to understand. I liked the way how author explained each topic, particularly first chapter which gives a very detailed explanation of transformer including its encoder and decoder components.Finally, this book provides an in-depth and detailed info about BERT.

Good book. Explained Bert in very nice manner. I would say good to have but a bit overpriced. Go for kindle version.

Very bad quality printing! At such a high price printing quality was supposed to be excellent but it is worse than even news paper printing. So much so that sometimes it is causing readability issues.

Sudarshan brings amazing clarity into the subject - makes a very good reading on the subject.

It is the first time ever I write a review in amazon, but I could not satand this. The pic shows very UNCLEAR explanation of mathematical operations. What kind of operation is shown in fig. 1.18? There are other examples like this one. I understand that pack books are not reviewed at all but this is basic presentation stuff. I expect from a book to save me time for learning. If I habe to figure out myself half of the math then I might be as better off reading some blogs online. Besides the maths there is not enough logical explanation order. It really seems that someone who really knows a lot drops some basic points but totally forgetting that he is talking (writing) to someone who knows zero about transformers.

I was disappointed by the content. Huge number of typo, poor printing quality and above all, silly and floppy explanation. I couldn't understand what the author try to deliver to the readers.I hope this crap will be sunk in the bottom of the search result.

Pro: The book does add a little bit of details and explanations beyond what is written in the research papers (e.g. 'Attention is all you need', 'BERT -...'). In that regard, it is not completely worthless.Contra: However, it stays too much on the surface. It repeats itself very often (i.e. the same sentence is repeated maybe 5-10 times inside one chapter, perhaps with a non-essential reordering of the sub-sentences). There would have been many opportunities to dig deeper or provide more understanding, besides what is already written in the research papers. But the book does not do this, by and large.So, I am back to trying to study BERT deeper using tutorials and blog posts on the internet, which are typically not satisfactory, but provide a little bit more understanding and context into understanding BERT.

I gave two stars instead of one star for effort.(1) I bought a copy in the fall of 2021. There were printing problems with subscripts and superscripts that made the text unreadable. In addition, some of the text in the figures was tiny. I wrote the publisher and they worked with me and eventually sent me a copy of the book with the printing improved.(2) I tried and tried and tried to get through the first 20 pages of the book. It needs to be edited and rewritten. There are basic grammar and English mistakes in every paragraph. Perhaps the writing team does not write in English as a native language. Well, that is why publishers have editors. Well, they didn't edit this book.(3) Good effort, they tried, but they failed.