 Название: Advances in Deep Learning
Автор: M. Arif Wani, Farooq Ahmad Bhat
Издательство: Springer
ISBN: 9811367930
Год: 2019 (2020 Edition)
Страниц: 159
Язык: английский
Формат: pdf (true), djvu
Размер: 10.1 MB
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.
Contents:
1 Introduction to Deep Learning
2 Basics of Supervised Deep Learning
3 Training Supervised Deep Learning Networks
4 Supervised Deep Learning Architectures
5 Unsupervised Deep Learning Architectures
6 Supervised Deep Learning in Face Recognition
7 Supervised Deep Learning in Fingerprint Recognition
8 Unsupervised Deep Learning in Character Recognition
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Advances in Deep Learning 
