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DEPARTAMENTOS
INTERESSE GERAL
INTERESSE GERAL 2
LIVROS TÉCNICOS
LIVROS TÉCNICOS 2
CATEGORIAS
- IMPORTADOS
Mastering Transformers
Cód:
491_9781801077651
De: R$ 0,00Por: R$ 357,27ou X de
Take a problem-solving approach to learning all about transformers and get up and running in no time by implementing methodologies that will build the future of NLPKey Features:Explore quick prototyping with up-to-date Python libraries to create effective solutions to industrial problemsSolve advanced NLP problems such as named-entity recognition, information extraction, language generation, and conversational AIMonitor your models performance with the help of BertViz, exBERT, and TensorBoardBook Description:Transformer-based language models have dominated natural language processing (NLP) studies and have now become a new paradigm. With this book, youll learn how to build various transformer-based NLP applications using the Python Transformers library.The book gives you an introduction to Transformers by showing you how to write your first hello-world program. Youll then learn how a tokenizer works and how to train your own tokenizer. As you advance, youll explore the architecture of autoencoding models, such as BERT, and autoregressive models, such as GPT. Youll see how to train and fine-tune models for a variety of natural language understanding (NLU) and natural language generation (NLG) problems, including text classification, token classification, and text representation. This book also helps you to learn efficient models for challenging problems, such as long-context NLP tasks with limited computational capacity. Youll also work with multilingual and cross-lingual problems, optimize models by monitoring their performance, and discover how to deconstruct these models for interpretability and explainability. Finally, youll be able to deploy your transformer models in a production environment.By the end of this NLP book, youll have learned how to use Transformers to solve advanced NLP problems using advanced models.What You Will Learn:Explore state-of-the-art NLP solutions with the Transformers libraryTrain a language model in any language with any trans
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