Guide to Convolutional Neural Networks : A Practical Application to Traffic-Sign Detection and Classification /

Guide to Convolutional Neural Networks : A Practical Application to Traffic-Sign Detection and Classification /

Bibliographic Details
Main Authors: Habibi Aghdam, Hamed. (Author), Jahani Heravi, Elnaz. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Subjects:
Pattern recognition.
Application software.
Computer organization.
Signal processing.
Image processing.
Speech processing systems.
Natural language processing (Computer science).
Automotive engineering.
Pattern Recognition.
Information Systems Applications (incl. Internet).
Computer Systems Organization and Communication Networks.
Signal, Image and Speech Processing.
Natural Language Processing (NLP).
Automotive Engineering.
Table of Contents:
  • Traffic Sign Detection and Recognition
  • Pattern Classification
  • Convolutional Neural Networks
  • Caffe Library
  • Classification of Traffic Signs
  • Detecting Traffic Signs
  • Visualizing Neural Networks
  • Appendix A: Gradient Descend.

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