Description

Book Synopsis

Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision provides an overview of general deep learning methodology and its applications of natural language processing (NLP), speech, and computer vision tasks. It simplifies and presents the concepts of deep learning in a comprehensive manner, with suitable, full-fledged examples of deep learning models, with an aim to bridge the gap between the theoretical and the applications using case studies with code, experiments, and supporting analysis.

Features:

  • Covers latest developments in deep learning techniques as applied to audio analysis, computer vision, and natural language processing.

  • Introduces contemporary applications of deep learning techniques as applied to audio, textual, and visual processing.

  • Discovers deep learning frameworks and libraries for NLP, speech, and computer vision in Python.

  • Gives insights into us

    Table of Contents

    1 Introduction 2 Natural Language Processing 3 State-of-the-Art Natural Language 4 Applications of Natural Language Processing Fundamentals of Speech Recognition 6 Deep Learning Models for Speech Recognition 7 End-to-End Speech Recognition Models 8 Computer Vision Basics 9 Deep Learning Models for Computer Vision 10 Applications of Computer Vision

Deep Learning Approach for Natural Language

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    £999.99

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    A Hardback by L. Ashok Kumar, D. Karthika Renuka

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      View other formats and editions of Deep Learning Approach for Natural Language by L. Ashok Kumar

      Publisher: CRC Press
      Publication Date: 5/22/2023 12:00:00 AM
      ISBN13: 9781032391656, 978-1032391656
      ISBN10: 1032391650

      Description

      Book Synopsis

      Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision provides an overview of general deep learning methodology and its applications of natural language processing (NLP), speech, and computer vision tasks. It simplifies and presents the concepts of deep learning in a comprehensive manner, with suitable, full-fledged examples of deep learning models, with an aim to bridge the gap between the theoretical and the applications using case studies with code, experiments, and supporting analysis.

      Features:

      • Covers latest developments in deep learning techniques as applied to audio analysis, computer vision, and natural language processing.

      • Introduces contemporary applications of deep learning techniques as applied to audio, textual, and visual processing.

      • Discovers deep learning frameworks and libraries for NLP, speech, and computer vision in Python.

      • Gives insights into us

        Table of Contents

        1 Introduction 2 Natural Language Processing 3 State-of-the-Art Natural Language 4 Applications of Natural Language Processing Fundamentals of Speech Recognition 6 Deep Learning Models for Speech Recognition 7 End-to-End Speech Recognition Models 8 Computer Vision Basics 9 Deep Learning Models for Computer Vision 10 Applications of Computer Vision

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