Neural Networks For Electronics Hobbyists- A Non Technical Project Based Introduction -

float neuron(float input1, float input2, float input3) float sum = input1 weights[0] + input2 weights[1] + input3*weights[2] + bias; if (sum > 0) return 1; // Tap pattern recognized else return 0;

Build the tap switch. Train it. Then unplug the USB – it still works. That’s your first embedded neural network. No PhD required. float neuron(float input1, float input2, float input3) float

Think of a neural network not as magic, but as an adaptive filter or a smart lookup table . You can train one to recognize patterns from your circuits (sound, light, touch) and make decisions. That’s your first embedded neural network

void train(float input1, float input2, float input3, int expected_output) float output = neuron(input1, input2, input3); float error = expected_output - output; // Adjust each weight slightly toward the correct answer weights[0] += error * input1 * 0.1; // 0.1 = learning rate weights[1] += error * input2 * 0.1; weights[2] += error * input3 * 0.1; bias += error * 0.1; You can train one to recognize patterns from