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  • Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision: Techniques and Use Cases

    Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision by Kumar, L. Ashok; Renuka, D. Karthika;

    Techniques and Use Cases

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      • Publisher's listprice GBP 49.99
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        23 882 Ft (22 745 Ft + 5% VAT)
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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 1
    • Publisher CRC Press
    • Date of Publication 13 April 2025

    • ISBN 9781032391663
    • Binding Paperback
    • No. of pages246 pages
    • Size 234x156 mm
    • Weight 420 g
    • Language English
    • Illustrations 149 Illustrations, black & white; 23 Halftones, black & white; 126 Line drawings, black & white; 21 Tables, black & white
    • 653

    Categories

    Short description:

    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.

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    Long description:

    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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    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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