The multilayer perceptron (MLP) is a powerful and versatile model in machine learning, underpinning technologies from autonomous vehicles to natural language processing. Known as a feedforward neural network, an MLP learns complex functions by processing data through interconnected layers of nodes, or neurons, inspired by the human brain. Its ability to model nonlinear relationships makes it a foundational tool in the deep learning landscape.