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

• Κύριοι συγγραφείς: Habibi Aghdam, Hamed (Συγγραφέας), Jahani Heravi, Elnaz (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Θέματα: Computer science.; Computer organization.; Computational linguistics.; Pattern recognition.; Automotive engineering.; Computer Science.; Pattern Recognition.; Information Systems Applications (incl. Internet).; Computer Systems Organization and Communication Networks.; Signal, Image and Speech Processing.; Language Translation and Linguistics.; Automotive Engineering.

This must-read text/reference introduces the fundamental concepts of convolutional neural networks (ConvNets), offering practical guidance on using libraries to implement ConvNets in applications of traffic sign detection and classification. The work presents techniques for optimizing the computatio...

Πίνακας περιεχομένων:

• 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.