Applied Natural Language Processing with PyTorch 2.0

Saved in:
Bibliographic Details
Title: Applied Natural Language Processing with PyTorch 2.0
Description: Natural Language Processing (NLP) is revolutionizing industries, from chatbots to data insights. PyTorch 2.0 offers the tools to build powerful NLP models. Applied Natural Language Processing with PyTorch 2.0 provides a practical guide to mastering NLP with this advanced framework. This book starts with a strong foundation in NLP concepts and the essentials of PyTorch 2.0, ensuring that you are well-equipped to tackle advanced topics. It covers key techniques such as transformer models, pre-trained language models, sequence-to-sequence models, and more. Each chapter includes hands-on examples and code implementations for real-world application. With a focus on practical use cases, the book explores NLP tasks like sentiment analysis, text classification, named entity recognition, machine translation, and text generation. You'll learn how to preprocess text, design neural architectures, train models, and evaluate results. Whether you're a beginner or an experienced professional, this book will empower you to develop advanced NLP models and solutions. Get started today and unlock the potential of NLP with PyTorch 2.0!
Authors: Dr. Deepti Chopra
Resource Type: eBook.
Subjects: Expert systems (Computer science), Language and languages, Artificial intelligence, Computers, Electronic books, Natural language processing (Computer science), Python (Computer program language)
Categories: COMPUTERS / Artificial Intelligence / Natural Language Processing
Database: eBook Academic Collection (EBSCOhost)
FullText Links:
  – Type: ebook-epub
Text:
  Availability: 0
Header DbId: e000xww
DbLabel: eBook Academic Collection (EBSCOhost)
An: 4122407
RelevancyScore: 1129
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1129.38305664063
IllustrationInfo
ImageInfo – Size: thumb
  Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$4122407$EPUB&s=r
– Size: medium
  Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$4122407$EPUB&s=d
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Applied Natural Language Processing with PyTorch 2.0
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Natural Language Processing (NLP) is revolutionizing industries, from chatbots to data insights. PyTorch 2.0 offers the tools to build powerful NLP models. Applied Natural Language Processing with PyTorch 2.0 provides a practical guide to mastering NLP with this advanced framework. This book starts with a strong foundation in NLP concepts and the essentials of PyTorch 2.0, ensuring that you are well-equipped to tackle advanced topics. It covers key techniques such as transformer models, pre-trained language models, sequence-to-sequence models, and more. Each chapter includes hands-on examples and code implementations for real-world application. With a focus on practical use cases, the book explores NLP tasks like sentiment analysis, text classification, named entity recognition, machine translation, and text generation. You'll learn how to preprocess text, design neural architectures, train models, and evaluate results. Whether you're a beginner or an experienced professional, this book will empower you to develop advanced NLP models and solutions. Get started today and unlock the potential of NLP with PyTorch 2.0!
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Dr%2E+Deepti+Chopra%22">Dr. Deepti Chopra</searchLink>
– Name: TypePub
  Label: Resource Type
  Group: TypPub
  Data: eBook.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Expert+systems+%28Computer+science%29%22">Expert systems (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Language+and+languages%22">Language and languages</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Computers%22">Computers</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+books%22">Electronic books</searchLink><br /><searchLink fieldCode="DE" term="%22Natural+language+processing+%28Computer+science%29%22">Natural language processing (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Python+%28Computer+program+language%29%22">Python (Computer program language)</searchLink>
– Name: SubjectBISAC
  Label: Categories
  Group: Su
  Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Artificial+Intelligence+%2F+Natural+Language+Processing%22">COMPUTERS / Artificial Intelligence / Natural Language Processing</searchLink>
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=e000xww&AN=4122407
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Expert systems (Computer science)
        Type: general
      – SubjectFull: Language and languages
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Computers
        Type: general
      – SubjectFull: Electronic books
        Type: general
      – SubjectFull: Natural language processing (Computer science)
        Type: general
      – SubjectFull: Python (Computer program language)
        Type: general
    Titles:
      – TitleFull: Applied Natural Language Processing with PyTorch 2.0
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Dr. Deepti Chopra
      – PersonEntity:
          Name:
            NameFull: Dr. Deepti Chopra
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2025
          Identifiers:
            – Type: isbn-print
              Value: 9789348107152
            – Type: isbn-electronic
              Value: 9789348107527
          Titles:
            – TitleFull: Applied Natural Language Processing with PyTorch 2.0
              Type: main
ResultId 1