Basic Perceptron or Single layer Neural Network
A single layer perceptron can only draw a line (y = ax + b), therefore It would not be able to understand a parabola or other type of curve in order to predict.
I have a doubt regarding basic perceptron. Can basic perceptron classify points in R^2 or R^3? Can someone justify it? Note: R^n refers to n-dimensional Euclidean Space.