Transformers for Natural Language Processing: Build, train, and fine-tune deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, and GPT-3, 2nd Edition

Transformers for Natural Language Processing: Build, train, and fine-tune deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, and GPT-3, 2nd Edition

  • Downloads：3988
  • Type：Epub+TxT+PDF+Mobi
  • Create Date：2022-04-28 09:52:32
  • Update Date：2025-09-13
  • Status：finish
  • Author：Denis Rothman
  • ISBN：1803247339
  • Environment：PC/Android/iPhone/iPad/Kindle
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Summary

Transformers are a game-changer for natural language understanding （NLU） and have become one of the pillars of artificial intelligence。

Transformers for Natural Language Processing， 2nd Edition， investigates deep learning for machine translations， speech-to-text， text-to-speech， language modeling， question-answering， and many more NLP domains with transformers。

An Industry 4。0 AI specialist needs to be adaptable; knowing just one NLP platform is not enough anymore。 Different platforms have different benefits depending on the application， whether it's cost， flexibility， ease of implementation， results， or performance。 In this book， we analyze numerous use cases with Hugging Face， Google Trax， OpenAI， and AllenNLP。

This book takes transformers' capabilities further by combining multiple NLP techniques， such as sentiment analysis， named entity recognition， and semantic role labeling， to analyze complex use cases， such as dissecting fake news on Twitter。 Also， see how transformers can create code using just a brief description。

By the end of this NLP book， you will understand transformers from a cognitive science perspective and be proficient in applying pretrained transformer models to various datasets。

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Reviews

Derek Martin ，

Worth every penny。 If you are looking for an expert's take on NLP then look no further。I've read anything I can get my hands on re: GPT-3/Huggingface。 Prof Rothman has raised the ante for what should be considered acceptable discourse re: GPT-3/Transformers and the new NLP-driven world that we live in。Buy the book; it has a feel of an experienced mentor giving you the tools but more importantly， the judgement to navigate these new waters。 Worth every penny。 If you are looking for an expert's take on NLP then look no further。I've read anything I can get my hands on re: GPT-3/Huggingface。 Prof Rothman has raised the ante for what should be considered acceptable discourse re: GPT-3/Transformers and the new NLP-driven world that we live in。Buy the book; it has a feel of an experienced mentor giving you the tools but more importantly， the judgement to navigate these new waters。 。。。more

Reference

google book https://www.google.com/search?tbm=bks&q=Transformers for Natural Language Processing: Build, train, and fine-tune deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, and GPT-3, 2nd Edition

hathitrust digital library https://babel.hathitrust.org/cgi/ls?q1=Transformers for Natural Language Processing: Build, train, and fine-tune deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, and GPT-3, 2nd Edition&field1=ocr&a=srchls&ft=ft&lmt=ft

The British Library https://bll01.primo.exlibrisgroup.com/discovery/search?query=any,contains,Transformers for Natural Language Processing: Build, train, and fine-tune deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, and GPT-3, 2nd Edition&tab=LibraryCatalog&search_scope=Not_BL_Suppress&vid=44BL_INST:BLL01&lang=en&offset=0