Deep Learning: Concepts, Methodologies, Tools, and Applications (4 Volumes)

Deep Learning: Concepts, Methodologies, Tools, and Applications (4 Volumes)

Projected Release Date: October, 2019|Copyright: © 2020 |Pages: 2250
ISBN13: 9781799804147|ISBN10: 1799804143|EISBN13: 9781799804154|DOI: 10.4018/978-1-7998-0414-7

Description

Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries. It is necessary to develop new techniques for managing data in order to ensure adequate usage. Deep learning, a subset of artificial intelligence and machine learning, has been recognized in various real-world applications such as computer vision, image processing, and pattern recognition. The deep learning approach has opened new opportunities that can make such real-life applications and tasks easier and more efficient.

Deep Learning: Concepts, Methodologies, Tools, and Applications is a vital reference source that trends in data analytics and potential technologies that will facilitate insight in various domains of science, industry, business, and consumer applications. It also explores the latest concepts, algorithms, and techniques of deep learning and data mining and analysis. Highlighting a range of topics such as natural language processing, predictive analytics, and deep neural networks, this multi-volume book is ideally designed for computer engineers, software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the latest trends in the field of deep learning.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence
  • Big Data Analytics
  • Computer Vision
  • Deep Learning Algorithms
  • Deep Neural Networks
  • Knowledge Engineering
  • Natural Language Processing
  • Predictive Analytics

Table of Contents and List of Contributors

Search this Book:
Reset

Author(s)/Editor(s) Biography

Information Resources Management Association (IRMA) is a research-based professional organization dedicated to advancing the concepts and practices of information resources management in modern organizations. IRMA's primary purpose is to promote the understanding, development and practice of managing information resources as key enterprise assets among IRM/IT professionals. IRMA brings together researchers, practitioners, academicians, and policy makers in information technology management from over 50 countries.