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Advances in Deep Learning (Hardcover, 1st ed. 2020) Loot Price: R5,349
Discovery Miles 53 490
Repayment Terms: R501 pm x 12*
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Advances in Deep Learning (Hardcover, 1st ed. 2020): M. Arif Wani, Farooq Ahmad Bhat, Saduf Afzal, Asif Iqbal Khan

Advances in Deep Learning (Hardcover, 1st ed. 2020)

M. Arif Wani, Farooq Ahmad Bhat, Saduf Afzal, Asif Iqbal Khan

Series: Studies in Big Data, 57

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Loot Price R5,349 Discovery Miles 53 490 | Repayment Terms: R501 pm x 12*

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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.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Series: Studies in Big Data, 57
Release date: March 2019
First published: 2020
Authors: M. Arif Wani • Farooq Ahmad Bhat • Saduf Afzal • Asif Iqbal Khan
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 149
Edition: 1st ed. 2020
ISBN-13: 978-981-13-6793-9
Categories: Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
Books > Computing & IT > Applications of computing > Databases > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 981-13-6793-0
Barcode: 9789811367939

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