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System, method, and non-transitory computer readable storage medium for image recognition based on convolutional neural networks
System, method, and non-transitory computer readable storage medium for image recognition based on convolutional neural networks
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机译:基于卷积神经网络的图像识别系统,方法和非暂时性计算机可读存储介质
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摘要
A recognition system includes an image capturing device and a server. The image capturing device generates a Mth-layer calculation result based on image data and a convolutional neural network (CNN), and transmits feature information associated with the Mth-layer calculation result. M is a positive integer, M is equal to or greater than 1, M is less than or equal to N, and N is a predetermined positive integer. The server receives the feature information. The server generates a Kth-layer calculation result based on the feature information and the CNN by an iterative method when M is less than N. K is a positive integer which is greater than M and less than or equal to N. The server generates a first recognition result associated with the image data based on the Kth-layer calculation result and a first recognition model when K is equal to N.
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