• 0 5391 6310 , 0 5391 6320
  • acquisition_library@mfu.ac.th
  • BOOK
  • E-BOOK
        
  • Log in
  • HOME
  • CATEGORY
    • Agro-Industry
    • Anti Aging and Regenerative Medicine
    • Applied Digital Technology
    • Cosmetic Science
    • Dentistry
    • General Books
    • Health Science
    • Integrative Medicine
    • Law
    • Liberal Arts
    • Management
    • Medicine
    • Nursing
    • Science
    • Sinology
    • Social Innovations
  • BOOKFAIR WEBSITE
  • MANUAL

Category

Agro-Industry

Anti Aging and Regenerative Medicine

Applied Digital Technology

Cosmetic Science

Dentistry

Health Science

Integrative Medicine

Law

Liberal Arts

Management

Medicine

Nursing

Science

Sinology

Social Innovations

General Books

Book

Deep Learning in Action

ISBN : 9780443300783

Author : Abdussalam Elhanashi

Publisher : Elsevier

Year : 2025

Language : English

Type : Book

Description : Artificial intelligence technology has entered an extraordinary phase of fast development and wide application. The techniques developed in traditional AI research areas, such as computer vision and object recognition, have found many innovative applications in an array of real-world settings. The general methodological contributions from AI, such as a variety of recently developed deep learning algorithms, have also been applied to a wide spectrum of fields such as surveillance applications, real-time processing, IoT devices, and health care systems. The state-of-the-art and deep learning models have wider applicability and are highly efficient. Deep Learning in Action: Image and Video Processing for Practical Use provides a comprehensive and accessible resource for both intermediate to advanced readers seeking to harness the power of deep learning in the domains of video and image processing. The book bridges the gap between theoretical concepts and practical implementation by emphasizing lightweight approaches, enabling readers to efficiently apply deep learning techniques to real-world scenarios. It focuses on resource-efficient methods, making it particularly relevant in contexts where computational constraints are a concern.

Please register to recommend this book to the library.

RECOMMENDED BOOKS

Big Data Infrastructure Technologies for Data Analytics

Yuri Demchenko

  • Detail

Autodesk Inventor 2025

L. Scott Hansen

  • Detail

Environmental Toxicology Concepts and Principles

Mohd. Salim Reshi

  • Detail

Computational Techniques for Smart Manufacturing in Industry 5.0: Methods and Applications

Kim Phuc Tran

  • Detail

Monitoring and Control of Electrical Power Systems using Machine Learning Techniques

Emilio Barocio Espejo

  • Detail

Political Epistemology

Michael Hannon

  • Detail

Essential Psychology

Philip Banyard

  • Detail

Plant Development and Evolution: Genetic Perspectives

Herbert McCoy

  • Detail

Learning Reources and Education Media Centre - Mae Fah Luang University