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Foundations

Artificial Neuron

Change inputs, weights and bias to see a neuron respond.

Weighted neural networkWeighted neural networkWeight 0.70.7Weight -0.3-0.3Weight 0.40.41Layer 0, neuron 1; activation 1; bias 00.5Layer 0, neuron 2; activation 0.5; bias 0-0.2Layer 0, neuron 3; activation -0.2; bias 00.6388Layer 1, neuron 1; activation 0.6387631751488418; bias 0.1Solid: positive · Dashed: negative · Width: |weight| · Select an edge to inspect
z = Σ xᵢwᵢ + b; a = f(z)
(1 × 0.7) + (0.5 × -0.3) + (-0.2 × 0.4) + 0.1 = 0.57
Output = 0.6388

Input: three measured features enter the neuron.

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Activation Functions →Forward Propagation →Backpropagation →

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