Advances in Deep Learning / by M. Arif Wani, Farooq Ahmad Bhat, Saduf Afzal, Asif Iqbal Khan

By:

Wani, M. Arif [VerfasserIn]

Contributor(s):

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Studies in Big Data ; 57 | Springer eBooks Intelligent Technologies and RoboticsPublisher: Singapore : Springer, 2020Description: 1 Online-Ressource (XIV, 149 p. 87 illus., 53 illus. in color)ISBN:

9789811367946

Subject(s):

Additional physical formats: 9789811367939 | Erscheint auch als: 978-981-13-6793-9 Druck-AusgabeDDC classification:

006.3 23

MSC: MSC: *68-02 | 68T05 | 68T10LOC classification:

Q342

DOI: DOI: 10.1007/978-981-13-6794-6Online resources:

Summary: 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 IndexSummary: 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 modelsPPN: PPN: 1666746088Package identifier: Produktsigel: ZDB-2-INR | ZDB-2-SEB | ZDB-2-SXIT

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