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Advances in deep learning

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Advances in deep learning

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in deep learningby M. Arif Wani ... [et al.].
other author:	Wani, M. Arif.
Published:	Singapore :Springer Singapore :2020.
Description:	xiv, 149 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	EducationData processing.
Online resource:	https://doi.org/10.1007/978-981-13-6794-6
ISBN:	9789811367946$q(electronic bk.)

Advances in deep learning
Advances in deep learning[electronic resource] /by M. Arif Wani ... [et al.]. - Singapore :Springer Singapore :2020. - xiv, 149 p. :ill., digital ;24 cm. - Studies in big data,v.572197-6503 ;. - Studies in big data ;v.1..

Preface -- Introduction to Deep Learning -- Basic Deep Learning Models -- Training Basic Deep Learning Models -- Optimising Deep Learning Models -- Application of Deep Learning in Classification -- Application of Deep Learning in Segmentation -- Application of Deep Learning in Face Recognition -- Application of Deep Learning in Fingerprint Recognition -- Author's Index.

This book introduces readers to both basic and advanced concepts in deep network models. It covers state-of-the-art deep architectures that many researchers are currently using to overcome the limitations of the traditional artificial neural networks. Various deep architecture models and their components are discussed in detail, and subsequently illustrated by algorithms and selected applications. In addition, the book explains in detail the transfer learning approach for faster training of deep models; the approach is also demonstrated on large volumes of fingerprint and face image datasets. In closing, it discusses the unique set of problems and challenges associated with these models.

ISBN: 9789811367946$q(electronic bk.)

Standard No.: 10.1007/978-981-13-6794-6doiSubjects--Topical Terms:

207353
Education
--Data processing.

LC Class. No.: LB1065

Dewey Class. No.: 370.1523

Advances in deep learning
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245 0 0 $a Advances in deep learning $h [electronic resource] / $c by M. Arif Wani ... [et al.].
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300 $a xiv, 149 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in big data, $x 2197-6503 ; $v v.57
505 0 $a Preface -- Introduction to Deep Learning -- Basic Deep Learning Models -- Training Basic Deep Learning Models -- Optimising Deep Learning Models -- Application of Deep Learning in Classification -- Application of Deep Learning in Segmentation -- Application of Deep Learning in Face Recognition -- Application of Deep Learning in Fingerprint Recognition -- Author's Index.
520 $a This book introduces readers to both basic and advanced concepts in deep network models. It covers state-of-the-art deep architectures that many researchers are currently using to overcome the limitations of the traditional artificial neural networks. Various deep architecture models and their components are discussed in detail, and subsequently illustrated by algorithms and selected applications. In addition, the book explains in detail the transfer learning approach for faster training of deep models; the approach is also demonstrated on large volumes of fingerprint and face image datasets. In closing, it discusses the unique set of problems and challenges associated with these models.
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650 2 4 $a Mathematical Models of Cognitive Processes and Neural Networks. $3 567118
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 274492
650 2 4 $a Artificial Intelligence. $3 212515
700 1 $a Wani, M. Arif. $3 862807
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830 0 $a Studies in big data ; $v v.1. $3 675357
856 4 0 $u https://doi.org/10.1007/978-981-13-6794-6
950 $a Intelligent Technologies and Robotics (Springer-42732)