Intuition for perceptron weight update rule
The perceptron’s output is the hard limit of the dot product between the instance and the weight. Let’s see how this changes after the update. Since w(t + 1) = w(t) + y(t)x(t), then x(t) ⋅ w(t + 1) = x(t) ⋅ w(t) + x(t) ⋅ (y(t) x(t)) = x(t) ⋅ w(t) + y(t) [x(t) … Read more