TY  - BOOK
AU  - Wani,M.Arif
AU  - Afzal,Saduf
AU  - Bhat,Farooq Ahmad
AU  - Khan,Asif Iqbal
TI  - Advances in Deep Learning
T2  - Studies in Big Data,
SN  - 9789811367946 (pbk.)
U1  - 006.3 23
PY  - 2020///
CY  - Singapore
PB  - Imprint: Springer
KW  - Artificial intelligence
KW  - Big data
KW  - Computational intelligence
KW  - Neural networks (Computer science)
KW  - Optical data processing
KW  - Computational Intelligence
KW  - Artificial Intelligence
KW  - Big Data
KW  - Computer Imaging, Vision, Pattern Recognition and Graphics
KW  - Mathematical Models of Cognitive Processes and Neural Networks
KW  - Linear models (Statistics)	
KW  - Probabilities	
KW  - Statistics	
N1  - 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
N2  - 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
ER  -