The function perceptron_predict()
in MATLAB can be designed as follows:
main.m492 chars22 lines
Here, 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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