logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Deep Learning Algorithms And Applications Witold Pedrycz Shyiming Chen

  • SKU: BELL-10548736
Deep Learning Algorithms And Applications Witold Pedrycz Shyiming Chen
$ 31.00 $ 45.00 (-31%)

5.0

78 reviews

Deep Learning Algorithms And Applications Witold Pedrycz Shyiming Chen instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 17.49 MB
Pages: 368
Author: Witold Pedrycz, Shyi-Ming Chen
ISBN: 9783030317591, 9783030317607, 3030317595, 3030317609
Language: English
Year: 2020

Product desciption

Deep Learning Algorithms And Applications Witold Pedrycz Shyiming Chen by Witold Pedrycz, Shyi-ming Chen 9783030317591, 9783030317607, 3030317595, 3030317609 instant download after payment.

This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of learning encountered in the practical problems being tackled. Intended for readers interested in acquiring practical knowledge of analysis, design, and deployment of deep learning solutions to real-world problems, it covers a wide range of the paradigm’s algorithms and their applications in diverse areas including imaging, seismic tomography, smart grids, surveillance and security, and health care, among others. Featuring systematic and comprehensive discussions on the development processes, their evaluation, and relevance, the book offers insights into fundamental design strategies for algorithms of deep learning.

Related Products