Lecture
This lecture introduces the perceptron algorithm from a geometric perspective, focusing on the rotation of the hyperplane caused by misclassified input patterns. The algorithm iterates through patterns, updating the weight vector based on the output and converges in a finite number of steps for linearly separable problems.