Can a Perceptron be made to form non-linear decision boundary? (Choose the best answer)(1 點)

A single-layer perceptron can only form a linear decision boundary. This is because it is a linear classifier, meaning it uses a linear predictor function to make its predictions.

However, a multi-layer perceptron (MLP), which is a type of neural network with at least three layers of nodes, can form a non-linear decision boundary. This is because MLPs use a non-linear activation function, which allows them to capture non-linear relationships between the inputs and the output.

So, while a single-layer perceptron cannot form a non-linear decision boundary, a multi-layer perceptron can.