Design and implementation of billboard recognition system based on deep learning neural network

Abstract

This paper studies the design and implementation of billboard recognition system based on deep learning neural network. Billboard recognition system is based on neural network. The main idea behind the system is to identify billboards by using a set of image features. These functions are used to train neural net-works, so it can also be applied to other applications. What are the benefits of using neural networks? Compared with traditional methods (such as regression analysis and clustering algorithms), neural networks have many advantages because they can provide better results at lower computational cost than these methods. The billboard recognition system is based on neural network. Neural network architecture of billboard recognition system in this paper, we will discuss how to use python programming language to create a neural network for recognizing images and texts. We will also learn how to train neural networks using a back propagation algorithm with an example data set and a 94% accuracy score.