Master`s student of the “information systems” program systems traffic sign recognition with convolutional neural network

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SUMMARY

    For this, researchers used convolutional neural_networks. And the proposed network in this study uses neural_network architecture. Sun Y. et_al researchers propose a new framework for deep learning consisting of two components, including a fully convolutional network (FCN) for controlled road sign recognition and a deep convolutional neural_network (CNN) for object classification. The presented system uses a convulsive neural_network. Considering these comments, the following studies are proposed in this paper: 1) the authors provide a deep convulsive neural_network for fast and efficient detection of road signs. 3) further, to quickly and accurately identify road signs . . .

     

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