Aim

To develop an understanding of single-layer perceptron learning and the concept of linear separability through the implementation of perceptron models for OR and XOR functions, and to critically examine the limitations of single-layer perceptrons while highlighting the role of Multi-Layer Perceptrons (MLPs) in addressing non-linearly separable problems.