🎉   Please check out our new website over at books-etc.com.

Seller
Your price
£114.26
RRP: £149.99
Save £35.73 (24%)
Printed on Demand
Dispatched within 14-21 working days.

Advances in Deep Learning

Studies in Big Data 57

Format: Hardback
Publisher: Springer Verlag, Singapore, Singapore, Singapore
Published: 25th Mar 2019
Dimensions: w 156mm h 234mm d 11mm
Weight: 411g
ISBN-10: 9811367930
ISBN-13: 9789811367939
Barcode No: 9789811367939
Trade or Institutional customer? Contact us about large order quotes.
Synopsis
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.

New & Used

Seller Information Condition Price
-New£114.26
+ FREE UK P & P

What Reviewers Are Saying

Be the first to review this item. Submit your review now