The function perceptron_predict() in MATLAB can be designed as follows:
main.m492 chars22 linesHere, x is the input vector of the input layer, map_func is the mapping function used for the perceptron, and theta is the weight vector of the perceptron. The output value of the perceptron is calculated as the dot product of the input vector and weight vector along with the mapping function. The output is then classified as a 0 or 1 based on a threshold of 0.5. t_hat is the binary hard prediction returned by the function.
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