Abstract
At present, in the field of image recognition, convolutional neural networks have become a research hotspot. Based on the neural cognitive machine, it further reduces the complexity of network models.Convolutional neural network (CNN) has the characteristics of simple structure, less training parameters and strong adaptability because it reduces the weight of nodes.In this paper, the network structure, neuron model and training algorithm of convolutional neural network are studied. On the basis of this, the application of CNN in shape recognition is taken as an example, and the related network structure and experimental results are given.
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