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Advances in Deep Learning
~
Afzal, Saduf.
Advances in Deep Learning
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Advances in Deep Learning/ by M. Arif Wani, Farooq Ahmad Bhat, Saduf Afzal, Asif Iqbal Khan.
Author:
Wani, M. Arif.
other author:
Bhat, Farooq Ahmad.
Description:
XIV, 149 p. 87 illus., 53 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computational intelligence. -
Online resource:
https://doi.org/10.1007/978-981-13-6794-6
ISBN:
9789811367946
Advances in Deep Learning
Wani, M. Arif.
Advances in Deep Learning
[electronic resource] /by M. Arif Wani, Farooq Ahmad Bhat, Saduf Afzal, Asif Iqbal Khan. - 1st ed. 2020. - XIV, 149 p. 87 illus., 53 illus. in color.online resource. - Studies in Big Data,572197-6503 ;. - Studies in Big Data,8.
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
Standard No.: 10.1007/978-981-13-6794-6doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Advances in Deep Learning
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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.
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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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Intelligent Technologies and Robotics (R0) (SpringerNature-43728)
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