Create a model that categorizes traffic signs and let the model learn to identify the most critical features of these traffic signs. In this article, I will demonstrate how to create a deep learning architecture.

Filename	Size	Update
Traffic-Sign-Recognition-master\Traffic-Sign-Recognition-master\.gitattributes	378	2016-02-16
Traffic-Sign-Recognition-master\Traffic-Sign-Recognition-master\.gitignore	649	2016-02-16
Traffic-Sign-Recognition-master\Traffic-Sign-Recognition-master\centroides.txt	0	2017-09-09
Traffic-Sign-Recognition-master\Traffic-Sign-Recognition-master\Entroncamento.bmp	30834	2016-02-16
Traffic-Sign-Recognition-master\Traffic-Sign-Recognition-master\ObrigatorioFrente.bmp	33974	2016-02-16
Traffic-Sign-Recognition-master\Traffic-Sign-Recognition-master\ori_externas.txt	9301	2016-02-16
Traffic-Sign-Recognition-master\Traffic-Sign-Recognition-master\PerigoCurvaDireita.bmp	30774	2016-02-16
Traffic-Sign-Recognition-master\Traffic-Sign-Recognition-master\PIG_32092.m	29311	2017-09-09
Traffic-Sign-Recognition-master\Traffic-Sign-Recognition-master\Prioridade.bmp	30834	2016-02-16
Traffic-Sign-Recognition-master\Traffic-Sign-Recognition-master\Proibido40.bmp	36174	2016-02-16
Traffic-Sign-Recognition-master\Traffic-Sign-Recognition-master\Proibido60.bmp	36174	2016-02-16
Traffic-Sign-Recognition-master\Traffic-Sign-Recognition-master\Proibido80.bmp	36174	2016-02-16
Traffic-Sign-Recognition-master\Traffic-Sign-Recognition-master\ProibidoEsquerda.bmp	33750	2016-02-16
Traffic-Sign-Recognition-master\Traffic-Sign-Recognition-master\ProibidoUltrapassar.bmp	33974	2016-02-16
Traffic-Sign-Recognition-master\Traffic-Sign-Recognition-master\Report (in Portuguese).pdf	1260516	2016-02-16
Traffic-Sign-Recognition-master\Traffic-Sign-Recognition-master\resultados.txt	0	2017-09-09
Traffic-Sign-Recognition-master\Traffic-Sign-Recognition-master\video.avi	20280320	2011-05-06
Traffic-Sign-Recognition-master\Traffic-Sign-Recognition-master	0	2019-07-05
Traffic-Sign-Recognition-master	0	2019-07-05

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．