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

The Problem: You’ve heard of "AI" and "Neural Networks," but tutorials assume you’re a Python coder or a mathematician. You’re a hardware person. You think in volts, LEDs, and sensors.

During training, for each tap you demonstrate: The Problem: You’ve heard of "AI" and "Neural

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; During training, for each tap you demonstrate: void

Your microcontroller is now an – running a neural network in milliseconds, using no cloud, no libraries, no Python. Part 5: Next-Level Hobby Projects (No Extra Math) Once you understand the tap switch, you can build: int expected_output) float output = neuron(input1