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A perceptron model is implemented in Python using a single input and one output. Input is weighted, summed with a bias, and thresholded to produce a yes-or-no response. The model mimics human decision-making by assigning weights to factors and applying a threshold. The code runs in browser without external libraries. Frank Rosenblatt's 1958 design is reproduced using basic math and loops.
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