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Our model design is based on CNN. Here is a brief introduction to the basic structure of CNN. CNN can extract features from input data by convolutional operations and reduce model parameters by weight sharing, which has low computational complexity. The basic CNN consists of input layer, convolutional layer, activation function, and output layer, as shown in Fig. 3. |
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