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Artificial Neuron
Change inputs, weights and bias to see a neuron respond.
A neuron weighs the information it receives, combines it, and produces one response.
Why do we need this? Large neural networks are built from many of these small units.
Positive weightNegative weightActive signal →← Backward gradient
STEP 1 OF 7Receive the inputs
These numbers are the information entering the neuron.
No account required. Local images and model files stay in your browser. Educational models demonstrate mechanisms; they are not production predictors.