Feedforward Neural Networks

A Feedforward Neural Network is a type of computer model inspired by the way brains process information. It consists of layers of nodes (neurons) where data flows in one direction—from input to output—without looping back. Each node transforms the data using mathematical functions, and the network learns by adjusting these transformations based on the results, improving its accuracy over time. This structure is used for tasks like recognizing images, understanding speech, and predicting trends. Its straightforward, layered design helps it efficiently model complex patterns in data.