Beginner-friendly · no scary math
Learn how neural networks think — by playing with them
Inputs are sensors. Weights are control knobs. Activation is the firing threshold. Drag, slide and tune your way to understanding.
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Lessons
114 min
What Is a Neural Network?
Meet the tiny decision machine. Inputs are sensors, weights are control knobs, and activation is the firing threshold that makes a neuron say 'yes!'
216 min
Weights, Learning Rate & Gain
How a network actually improves: measure the error, then take a step. Meet the step size (learning rate), the stretch knob (gain), and the scoreboard (loss).
313 min
Activation Functions: ReLU, Sigmoid & Tanh
Three favourite firing rules, with the real formulas and a hand-worked example for each.