Build a neural network layer by layer. Change the architecture, swap activation functions, and watch how signals flow from input to output. Hover over neurons to inspect their activation values.
Sign in to save your progress.
Each neuron computes a weighted sum of its inputs plus a bias, then passes it through an activation function. Without non-linear activations, any deep network collapses to a single linear function.