{"product_id":"getting-started-with-google-bert-build-and-train-state-of-the-art-natural-language-processing-models-using-bert-paperback","title":"Getting Started with Google BERT: Build and train state-of-the-art natural language processing models using BERT - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eSudharsan Ravichandiran\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKickstart your NLP journey by exploring BERT and its variants such as ALBERT, RoBERTa, DistilBERT, VideoBERT, and more with Hugging Face's transformers library\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eExplore the encoder and decoder of the transformer model\u003c\/li\u003e\n\u003cli\u003eBecome well-versed with BERT along with ALBERT, RoBERTa, and DistilBERT\u003c\/li\u003e\n\u003cli\u003eDiscover how to pre-train and fine-tune BERT models for several NLP tasks\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eBERT (bidirectional encoder representations from transformer) has revolutionized the world of natural language processing (NLP) with promising results. This book is an introductory guide that will help you get to grips with Google's BERT architecture. With a detailed explanation of the transformer architecture, this book will help you understand how the transformer's encoder and decoder work.\u003c\/p\u003e\u003cp\u003eYou'll explore the BERT architecture by learning how the BERT model is pre-trained and how to use pre-trained BERT for downstream tasks by fine-tuning it for NLP tasks such as sentiment analysis and text summarization with the Hugging Face transformers library. As you advance, you'll learn about different variants of BERT such as ALBERT, RoBERTa, and ELECTRA, and look at SpanBERT, which is used for NLP tasks like question answering. You'll also cover simpler and faster BERT variants based on knowledge distillation such as DistilBERT and TinyBERT. The book takes you through MBERT, XLM, and XLM-R in detail and then introduces you to sentence-BERT, which is used for obtaining sentence representation. Finally, you'll discover domain-specific BERT models such as BioBERT and ClinicalBERT, and discover an interesting variant called VideoBERT.\u003c\/p\u003e\u003cp\u003eBy the end of this BERT book, you'll be well-versed with using BERT and its variants for performing practical NLP tasks.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUnderstand the transformer model from the ground up\u003c\/li\u003e\n\u003cli\u003eFind out how BERT works and pre-train it using masked language model (MLM) and next sentence prediction (NSP) tasks\u003c\/li\u003e\n\u003cli\u003eGet hands-on with BERT by learning to generate contextual word and sentence embeddings\u003c\/li\u003e\n\u003cli\u003eFine-tune BERT for downstream tasks\u003c\/li\u003e\n\u003cli\u003eGet to grips with ALBERT, RoBERTa, ELECTRA, and SpanBERT models\u003c\/li\u003e\n\u003cli\u003eGet the hang of the BERT models based on knowledge distillation\u003c\/li\u003e\n\u003cli\u003eUnderstand cross-lingual models such as XLM and XLM-R\u003c\/li\u003e\n\u003cli\u003eExplore Sentence-BERT, VideoBERT, and BART\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis book is for NLP professionals and data scientists looking to simplify NLP tasks to enable efficient language understanding using BERT. A basic understanding of NLP concepts and deep learning is required to get the best out of this book.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 352\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.73 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e January 22, 2021\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47213869662457,"sku":"9781838821593","price":66.22,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/yj23Y2Id-w9781838821593.webp?v=1768109434","url":"https:\/\/bookscloud.io\/products\/getting-started-with-google-bert-build-and-train-state-of-the-art-natural-language-processing-models-using-bert-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}