Chapter 3 Contents
Overview
Section 3.1: Hyperplane Geometry
Section 3.2: Linear Separability
Section 3.3: Hyperplane Capacity
Section 3.4: Learning Rules for Single-Layer Networks
Section 3.4.1: The Perceptron Learning Algorithm
Section 3.4.2: Perceptron ConvergenceProof
Section 3.4.3: The Pocket Algorithm
Section 3.4.4: Rosenblatt's Perceptron
Section 3.5: Adalines and the Widrow-Hoff Learning Rule