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Function as the activation function to calculate the excitation of each layer of the network (assuming that we have only one sample, the input is. x1,x2, The output is. y ); The first level is input, and the incentive is the eigenvalue of the sample. a1=⎡⎣⎢⎢x0x1x2⎤⎦⎥⎥ x0. Is the bias term, which is 1. The second layer is the ...

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