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Advances in Deep Learning by M. Arif Wani: New

AlibrisBooks
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Last updated on 05 Dec, 2024 12:02:54 GMTView all revisionsView all revisions

Item specifics

Condition
New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Book Title
Advances in Deep Learning
Publication Date
2019-03-25
ISBN
9789811367939

About this product

Product Identifiers

Publisher
Springer
ISBN-10
9811367930
ISBN-13
9789811367939
eBay Product ID (ePID)
26038734756

Product Key Features

Number of Pages
Xiv, 149 Pages
Publication Name
Advances in Deep Learning
Language
English
Subject
Engineering (General), Intelligence (Ai) & Semantics, Databases / General
Publication Year
2019
Type
Textbook
Author
Farooq Ahmad Bhat, M. Arif Wani, Asif Iqbal Khan, Saduf Afzal
Subject Area
Computers, Technology & Engineering
Series
Studies in Big Data Ser.
Format
Hardcover

Dimensions

Item Weight
16 Oz
Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Series Volume Number
57
Number of Volumes
1 vol.
Illustrated
Yes
Table Of Content
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.
Synopsis
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.
LC Classification Number
Q342

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  • _***s (6)- Feedback left by buyer.
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    When I'd originally placed this order, I had accidentally put in the wrong shipping address. However, the seller was more than helpful, and the CD arrived!! The packaging was wide open when it arrived, but luckily nothing was damaged. Additionally, there was nothing protective on the CD, so that open package made me feel kind of nervous. Otherwise, absolutely great! The customer service was awesome, and the product was as described.
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    Item was lost in delivery- but after some communication, seller was understanding and provided a refund. I ordered another and had it sent elsewhere. My main issue was that it felt as if I was getting automated responses at first!! Please have humans review human inquiries!! It was painstaking explaining the situation to an A.I. who only repeats unhelpful replies. Thanks again!! Otherwise. Great price! Great seller!
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    Although I received the incorrect book with my order (that had a title close to what I had ordered), AlibrisBooks apologized, said they could not re-send the book, and refunded my money and told me to keep the book that I had received, and either donate it or give it away, so I gave it to someone. That was very kind on their part to do that, and I would highly recommend them. Mistakes happen I get that.