Hidden Bibliographic Details
| Other authors / contributors: | Bhat, Farooq Ahmad, author.
Afzal, Saduf, author.
Khan, Asif Iqbal, author.
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| ISBN: | 9789811367946
9811367949
9789811367939
9811367930
9789811367953
9811367957
9789811367960
9811367965
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| Digital file characteristics: | text file PDF
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| Notes: | Includes bibliographical references.
Online resource; title from digital title page (viewed on April 30, 2019).
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| Summary: | 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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| Other form: | Print version: Wani, M.A. (M. Arif). Advances in deep learning. Singapore : Springer, [2020] 9811367930 9789811367939
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| Standard no.: | 10.1007/978-981-13-6794-6
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