Build a neural network layer by layer. Change the architecture, swap activation functions, and watch how signals flow from input to output. Tap or hover neurons to inspect their activation values.
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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.