weights

Weights, Biases and a Neuron’s Weighted Sum

In an artificial neuron, weights measure how important each input is and the bias shifts the result. The neuron multiplies each input by its weight, adds everything up and includes the bias to produce the weighted sum z = Wx + b, the number that then passes through the activation function.