Development and Analysis of Deep Learning Architectures

Released on by Witold Pedrycz
preview-18

  • Development and Analysis of Deep Learning Architectures Book Detail

  • Author : Witold Pedrycz
  • Release Date : 2019-11-01
  • Publisher : Springer Nature
  • Genre : Technology & Engineering
  • Pages : 292
  • ISBN 13 : 3030317641
  • File Size : 95,95 MB
DOWNLOAD BOOK

Development and Analysis of Deep Learning Architectures by Witold Pedrycz PDF Summary

Book Description: This book offers a timely reflection on the remarkable range of algorithms and applications that have made the area of deep learning so attractive and heavily researched today. Introducing the diversity of learning mechanisms in the environment of big data, and presenting authoritative studies in fields such as sensor design, health care, autonomous driving, industrial control and wireless communication, it enables readers to gain a practical understanding of design. The book also discusses systematic design procedures, optimization techniques, and validation processes.

Disclaimer: www.yourbookbest.com does not own Development and Analysis of Deep Learning Architectures books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Deep Learning: Concepts and Architectures

Deep Learning: Concepts and Architectures

File Size : 10,10 MB
Total View : 6890 Views
DOWNLOAD

This book introduces readers to the fundamental concepts of deep learning and offers practical insights into how this learning paradigm supports automatic mecha

Deep Learning for Computer Architects

Deep Learning for Computer Architects

File Size : 5,5 MB
Total View : 5359 Views
DOWNLOAD

This is a primer written for computer architects in the new and rapidly evolving field of deep learning. It reviews how machine learning has evolved since its i