Multi-layer Perceptron (MLP)

A Multi-layer Perceptron (MLP) is a type of artificial neural network used in machine learning. It consists of multiple layers of interconnected nodes (or neurons) that process data. The first layer receives input, and each subsequent layer transforms that input through mathematical functions. MLPs can learn complex patterns by adjusting the connections between nodes based on examples they are trained on. They are commonly used for tasks like image recognition, speech processing, and predictive modeling, making them valuable in various applications, from finance to healthcare.