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Image of - Deep Learning Approach For Natural Language Processing Speech And Computer Vision Techniques And Use Cases | Hardcover
Deep Learning Approach For Natural Language Processing Speech And Computer Vision Techniques And Use Cases | Hardcover

Deep Learning Approach For Natural Language Processing Speech And Computer Vision Techniques And Use Cases | Hardcover

by Kumar L

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 using the tools and libraries in Python for real-world applications.Provides easily accessible tutorials and real-world case studies with code to provide hands-on experience.This book is aimed at researchers and graduate students in computer engineering, image, speech, and text processing.

Highlights

  • binding-icon

    9781032391656

    ISBN:

  • binding-icon

    Kumar L

    Author:

  • binding-icon

    226

    Pages:

  • binding-icon

    215 gm

    Weight:

  • langauage-icon

    English

    Language:

  • date-icon

    2023

    Year:

  • edition-icon

    1st Edition

    Edition:

  • binding-icon

    Hardcover

    Binding:

12702

15877

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 using the tools and libraries in Python for real-world applications.Provides easily accessible tutorials and real-world case studies with code to provide hands-on experience.This book is aimed at researchers and graduate students in computer engineering, image, speech, and text processing.

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