Concepts and Real-Time Applications of Deep Learning /

This book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a concentration on advances of deep learning architectures. The book discusses various artificial intelligence (AI) techniques based on deep learning architecture with...

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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Srivastava, Smriti (Editor), Khari, Manju (Editor), Gonzalez Crespo, Ruben (Editor), Chaudhary, Gopal (Editor), Arora, Parul (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition:	1st ed. 2021.
Series:	EAI/Springer Innovations in Communication and Computing,
Subjects:	Computational intelligence. Statistics . Neural networks (Computer science) . Electrical engineering. Optical data processing. Computational Intelligence. Statistics, general. Mathematical Models of Cognitive Processes and Neural Networks. Communications Engineering, Networks. Computer Imaging, Vision, Pattern Recognition and Graphics. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Introduction
AI Techniques based on Modern Deep Learning architectures
Application of Deep learning in Optimization and Regression
Deep learning in Pattern recognition
Application of Deep Learning in Healthcare systems for diagnosing disease
Application of Deep Learning for Security and threats
Deep Learning Framework and Tools
Advancements in Deep Learning
Multidisciplinary Applications of Machine/Deep Learning
Conclusion.