Multilayer Perceptron (MLP)

A Multilayer Perceptron (MLP) is a type of artificial neural network used in machine learning. It consists of multiple layers of interconnected nodes (or neurons), where each layer processes input data and passes it to the next. The MLP learns patterns in data through a training process, adjusting connections based on errors in its predictions. This enables it to perform tasks like classification and regression. MLPs are commonly used for tasks such as image recognition, natural language processing, and more, due to their ability to model complex relationships in data.