Multilayer Perceptron

A Multilayer Perceptron is a deeper extension of the perceptron idea and contains at least one hidden layer. Thanks to activation functions, it can learn nonlinear relationships and is often used as a strong baseline model for classification and regression. It plays an important role in tabular modeling, basic signal tasks, and foundational deep learning education. However, it may be limited compared with specialized architectures when data contains spatial or sequential structure.